CoReg.py 82.4 KB
Newer Older
1
2
# -*- coding: utf-8 -*-

3
4
# AROSICS - Automated and Robust Open-Source Image Co-Registration Software
#
Daniel Scheffler's avatar
Daniel Scheffler committed
5
# Copyright (C) 2017-2021  Daniel Scheffler (GFZ Potsdam, daniel.scheffler@gfz-potsdam.de)
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
#
# This software was developed within the context of the GeoMultiSens project funded
# by the German Federal Ministry of Education and Research
# (project grant code: 01 IS 14 010 A-C).
#
# This program is free software: you can redistribute it and/or modify it under
# the terms of the GNU Lesser General Public License as published by the Free
# Software Foundation, either version 3 of the License, or (at your option) any
# later version.
#
# This program is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
# FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more
# details.
#
# You should have received a copy of the GNU Lesser General Public License along
# with this program.  If not, see <http://www.gnu.org/licenses/>.

24
25
26
import os
import time
import warnings
27
from copy import copy
28
from typing import Iterable, Union, Tuple, List, Optional  # noqa F401
29
30

# custom
31
from osgeo import gdal
32
import numpy as np
33

34
35
36
try:
    import pyfftw
except ImportError:
37
    pyfftw = None
38
from shapely.geometry import Point, Polygon
39
40

# internal modules
41
from .DeShifter import DESHIFTER, _dict_rspAlg_rsp_Int
42
43
from . import geometry as GEO
from . import plotting as PLT
44

45
from geoarray import GeoArray
46
from py_tools_ds.convenience.object_oriented import alias_property
47
from py_tools_ds.geo.coord_calc import get_corner_coordinates
48
from py_tools_ds.geo.vector.topology import get_overlap_polygon, get_smallest_boxImYX_that_contains_boxMapYX
49
from py_tools_ds.geo.projection import prj_equal
50
from py_tools_ds.geo.vector.geometry import boxObj, round_shapelyPoly_coords
51
from py_tools_ds.geo.coord_grid import move_shapelyPoly_to_image_grid, is_coord_grid_equal
52
from py_tools_ds.geo.coord_trafo import reproject_shapelyGeometry, mapXY2imXY, imXY2mapXY
53
54
from py_tools_ds.geo.raster.reproject import warp_ndarray
from py_tools_ds.geo.map_info import geotransform2mapinfo
55
from py_tools_ds.io.vector.writer import write_shp
56

57
__author__ = 'Daniel Scheffler'
58
59


60
class GeoArray_CoReg(GeoArray):
61
62
63
64
    def __init__(self,
                 CoReg_params: dict,
                 imID: str
                 ) -> None:
65
        assert imID in ['ref', 'shift']
Daniel Scheffler's avatar
CoReg:    
Daniel Scheffler committed
66

67
68
        # run GeoArray init
        path_or_geoArr = CoReg_params['im_ref'] if imID == 'ref' else CoReg_params['im_tgt']
69
70
71
        nodata = CoReg_params['nodata'][0 if imID == 'ref' else 1]
        progress = CoReg_params['progress']
        q = CoReg_params['q'] if not CoReg_params['v'] else False
72

73
        super(GeoArray_CoReg, self).__init__(path_or_geoArr, nodata=nodata, progress=progress, q=q)
74

75
        self.imID = imID
76
        self.imName = 'reference image' if imID == 'ref' else 'image to be shifted'
77
        self.v = CoReg_params['v']
78
79

        assert isinstance(self, GeoArray), \
80
            'Something went wrong with the creation of GeoArray instance for the %s. The created ' \
81
            'instance does not seem to belong to the GeoArray class. If you are working in Jupyter Notebook, reset ' \
82
            'the kernel and try again.' % self.imName
83

84
        # set title to be used in plots
85
        self.title = os.path.basename(self.filePath) if self.filePath else self.imName
86
87

        # validate params
88
89
        # assert self.prj, 'The %s has no projection.' % self.imName # TODO
        # assert not re.search('LOCAL_CS', self.prj), 'The %s is not georeferenced.' % self.imName # TODO
90
91
92
        assert self.gt, 'The %s has no map information.' % self.imName

        # set band4match
93
94
95
96
97
        self.band4match = (CoReg_params['r_b4match'] if imID == 'ref' else CoReg_params['s_b4match']) - 1
        assert self.bands >= self.band4match + 1 >= 1, \
            "The %s has %s %s. So its band number to match must be %s%s. Got %s." \
            % (self.imName, self.bands, 'bands' if self.bands > 1 else
               'band', 'between 1 and ' if self.bands > 1 else '', self.bands, self.band4match)
98

99
100
        # set footprint_poly
        given_footprint_poly = CoReg_params['footprint_poly_%s' % ('ref' if imID == 'ref' else 'tgt')]
101
        given_corner_coord = CoReg_params['data_corners_%s' % ('ref' if imID == 'ref' else 'tgt')]
102
103

        if given_footprint_poly:
104
            self.footprint_poly = given_footprint_poly
105
        elif given_corner_coord is not None:
106
            self.footprint_poly = Polygon(given_corner_coord)
107
108
        elif not CoReg_params['calc_corners']:
            # use the image extent
109
            self.footprint_poly = Polygon(get_corner_coordinates(gt=self.gt, cols=self.cols, rows=self.rows))
110
        else:
111
112
            # footprint_poly is calculated automatically by GeoArray
            if not CoReg_params['q']:
113
                print('Calculating footprint polygon and actual data corner coordinates for %s...' % self.imName)
114

115
            self.calc_mask_nodata(fromBand=self.band4match)  # this avoids that all bands have to be read
116

117
118
119
120
121
122
123
124
            with warnings.catch_warnings(record=True) as w:
                _ = self.footprint_poly  # execute getter

            if len(w) > 0 and 'disjunct polygone(s) outside' in str(w[-1].message):
                warnings.warn('The footprint of the %s contains multiple separate image parts. '
                              'AROSICS will only process the largest image part.' % self.imName)
                # FIXME use a convex hull as footprint poly

125
126
127
128
        # validate footprint poly
        if not self.footprint_poly.is_valid:
            self.footprint_poly = self.footprint_poly.buffer(0)

129
        if not self.q:
Daniel Scheffler's avatar
Daniel Scheffler committed
130
            print('Bounding box of calculated footprint for %s:\n\t%s' % (self.imName, self.footprint_poly.bounds))
131

132
133
134
        # add bad data mask
        given_mask = CoReg_params['mask_baddata_%s' % ('ref' if imID == 'ref' else 'tgt')]
        if given_mask:
135
            self.mask_baddata = given_mask  # runs GeoArray.mask_baddata.setter -> sets it to BadDataMask()
Daniel Scheffler's avatar
Daniel Scheffler committed
136

137
    poly = alias_property('footprint_poly')  # ensures that self.poly is updated if self.footprint_poly is updated
Daniel Scheffler's avatar
Daniel Scheffler committed
138
139


140
class COREG(object):
141
    """The COREG class detects and corrects global X/Y shifts between a target and reference image.
Daniel Scheffler's avatar
Daniel Scheffler committed
142
143
144
145
146
147

    Geometric shifts are calculated at a specific (adjustable) image position. Correction performs a global shifting
    in X- or Y direction.

    See help(COREG) for documentation!
    """
148

149
150
151
152
153
154
155
156
    def __init__(self,
                 im_ref: Union[GeoArray, str],
                 im_tgt: Union[GeoArray, str],
                 path_out: str = None,
                 fmt_out: str = 'ENVI',
                 out_crea_options: list = None,
                 r_b4match: int = 1,
                 s_b4match: int = 1,
Daniel Scheffler's avatar
Daniel Scheffler committed
157
                 wp: Tuple[float, float] = (None, None),
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
                 ws: Tuple[int, int] = (256, 256),
                 max_iter: int = 5,
                 max_shift: int = 5,
                 align_grids: bool = False,
                 match_gsd: bool = False,
                 out_gsd: Tuple[float] = None,
                 target_xyGrid: List[List] = None,
                 resamp_alg_deshift: str = 'cubic',
                 resamp_alg_calc: str = 'cubic',
                 footprint_poly_ref: str = None,
                 footprint_poly_tgt: str = None,
                 data_corners_ref: list = None,
                 data_corners_tgt: list = None,
                 nodata: Tuple = (None, None),
                 calc_corners: bool = True,
                 binary_ws: bool = True,
                 mask_baddata_ref: Union[GeoArray, str] = None,
                 mask_baddata_tgt: Union[GeoArray, str] = None,
                 CPUs: int = None,
                 force_quadratic_win: bool = True,
                 progress: bool = True,
                 v: bool = False,
                 path_verbose_out: str = None,
                 q: bool = False,
                 ignore_errors: bool = False
                 ) -> None:
Daniel Scheffler's avatar
Daniel Scheffler committed
184
        """Get an instance of the COREG class.
185

186
        :param im_ref:
187
188
            source path or GeoArray instance of reference image
            (any GDAL compatible image format is supported)
189
190

        :param im_tgt:
191
192
            source path or GeoArray instance of the target image, i.e., the image to be shifted
            (any GDAL compatible image format is supported)
193
194
195
196
197
198
199
200

        :param path_out:
            target path of the coregistered image
            - if None (default), the method correct_shifts() does not write to disk
            - if 'auto': /dir/of/im1/<im1>__shifted_to__<im0>.bsq

        :param fmt_out:
            raster file format for output file. ignored if path_out is None. can be any GDAL compatible raster file
201
202
            format (e.g. 'ENVI', 'GTIFF'; default: ENVI). Refer to https://gdal.org/drivers/raster/index.html to get a
            full list of supported formats.
203
204
205
206
207
208
209
210
211
212
213

        :param out_crea_options:
          GDAL creation options for the output image, e.g. ["QUALITY=80", "REVERSIBLE=YES", "WRITE_METADATA=YES"]

        :param r_b4match:
            band of reference image to be used for matching (starts with 1; default: 1)

        :param s_b4match:
            band of shift image to be used for matching (starts with 1; default: 1)

        :param wp:
214
            custom matching window position as (X, Y) map coordinate in the same projection like the reference image
215
216
217
            (default: central position of image overlap)

        :param ws:
218
            custom matching window size [pixels] as (X, Y) tuple (default: (256,256))
219
220
221
222
223
224
225
226

        :param max_iter:
            maximum number of iterations for matching (default: 5)

        :param max_shift:
            maximum shift distance in reference image pixel units (default: 5 px)

        :param align_grids:
227
228
229
230
231
232
233
            True: align the input coordinate grid to the reference (does not affect the output pixel size as long as
            input and output pixel sizes are compatible (5:30 or 10:30 but not 4:30), default = False

            - NOTE: If this is set to False, the mis-registration in the target image is corrected by updating its
              geocoding information only, i.e., without performing any resampling which preserves the original
              image values (except that a resampling is needed due to other reasons, e.g., if 'match_gsd',
              'out_gsd' or 'target_xyGrid' are given).
234
235

        :param match_gsd:
236
237
            True: match the input pixel size to the reference pixel size,
            default = False
238
239

        :param out_gsd:
240
241
            output pixel size (X/Y) in units of the reference coordinate system (default = pixel size of the target
            image), given values are overridden by match_gsd=True
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258

        :param target_xyGrid:
            a list with a target x-grid and a target y-grid like [[15,45], [15,45]]
            This overrides 'out_gsd', 'align_grids' and 'match_gsd'.

        :param resamp_alg_deshift:
            the resampling algorithm to be used for shift correction (if neccessary)
            - valid algorithms: nearest, bilinear, cubic, cubic_spline, lanczos, average, mode, max, min, med, q1, q3
            - default: cubic

        :param resamp_alg_calc:
            the resampling algorithm to be used for all warping processes during calculatio of spatial shift
            - valid algorithms: nearest, bilinear, cubic, cubic_spline, lanczos, average, mode, max, min, med, q1, q3
            - default: cubic (highly recommended)

        :param footprint_poly_ref:
            footprint polygon of the reference image (WKT string or shapely.geometry.Polygon),
259
            e.g. 'POLYGON ((299999 6000000, 299999 5890200, 409799 5890200, 409799 6000000, 299999 6000000))'
260
261
262
263
264
265
266
267
268
269
270
271

        :param footprint_poly_tgt:
            footprint polygon of the image to be shifted (WKT string or shapely.geometry.Polygon)
            e.g. 'POLYGON ((299999 6000000, 299999 5890200, 409799 5890200, 409799 6000000, 299999 6000000))'

        :param data_corners_ref:
            map coordinates of data corners within reference image. ignored if footprint_poly_ref is given.

        :param data_corners_tgt:
            map coordinates of data corners within image to be shifted. ignored if footprint_poly_tgt is given.

        :param nodata:
272
273
            no-data values for reference image and image to be shifted. The default is (None, None) which indicates
            that there is no specific no-data value for both of the input images.
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315

        :param calc_corners:
             calculate true positions of the dataset corners in order to get a useful matching window position within
             the actual image overlap (default: 1; deactivated if '-cor0' and '-cor1' are given

        :param binary_ws:
            use binary X/Y dimensions for the matching window (default: 1)

        :param mask_baddata_ref:
            path to a 2D boolean mask file (or an instance of GeoArray) for the reference image where all bad data
            pixels (e.g. clouds) are marked with True and the remaining pixels with False. Must have the same
            geographic extent and projection like 'im_ref'. The mask is used to check if the chosen matching window
            position is valid in the sense of useful data. Otherwise this window position is rejected.

        :param mask_baddata_tgt:
            path to a 2D boolean mask file (or an instance of GeoArray) for the image to be shifted where all bad data
            pixels (e.g. clouds) are marked with True and the remaining pixels with False. Must have the same
            geographic extent and projection like 'im_ref'. The mask is used to check if the chosen matching window
            position is valid in the sense of useful data. Otherwise this window position is rejected.

        :param CPUs:
            number of CPUs to use during pixel grid equalization (default: None, which means 'all CPUs available')

        :param force_quadratic_win:
            force a quadratic matching window (default: 1)

        :param progress:
            show progress bars (default: True)

        :param v:
            verbose mode (default: False)

        :param path_verbose_out:
            an optional output directory for intermediate results
            (if not given, no intermediate results are written to disk)

        :param q:
            quiet mode (default: False)

        :param ignore_errors:
            Useful for batch processing. (default: False)
            In case of error COREG.success == False and COREG.x_shift_px/COREG.y_shift_px is None
316
        """
317
        self.params = dict([x for x in locals().items() if x[0] != "self"])
318

319
320
321
322
        # input validation
        if gdal.GetDriverByName(fmt_out) is None:
            raise ValueError(fmt_out, "'%s' is not a supported GDAL driver." % fmt_out)

323
324
        if match_gsd and out_gsd:
            warnings.warn("'-out_gsd' is ignored because '-match_gsd' is set.\n")
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342

        if out_gsd and (not isinstance(out_gsd, list) or len(out_gsd) != 2):
            raise ValueError(out_gsd, 'out_gsd must be a list with two values.')

        if data_corners_ref and not isinstance(data_corners_ref[0], list):
            # group if not [[x,y],[x,y]..] but [x,y,x,y,]
            data_corners_ref = [data_corners_ref[i:i + 2]
                                for i in range(0, len(data_corners_ref), 2)]

        if data_corners_tgt and not isinstance(data_corners_tgt[0], list):
            # group if not [[x,y],[x,y]..]
            data_corners_tgt = [data_corners_tgt[i:i + 2]
                                for i in range(0, len(data_corners_tgt), 2)]

        if nodata and (not isinstance(nodata, Iterable) or len(nodata) != 2):
            raise ValueError(nodata, "'nodata' must be an iterable with two values. "
                                     "Got %s with length %s." % (type(nodata), len(nodata)))

343
        for rspAlg in [resamp_alg_deshift, resamp_alg_calc]:
344
345
346
            if rspAlg not in _dict_rspAlg_rsp_Int.keys():
                raise ValueError("'%s' is not a supported resampling algorithm." % rspAlg)

347
        if resamp_alg_calc in ['average', 5] and (v or not q):
348
            warnings.warn("The resampling algorithm 'average' causes sinus-shaped patterns in fft images that will "
349
350
                          "affect the precision of the calculated spatial shifts! It is highly recommended to "
                          "choose another resampling algorithm.")
351

352
353
354
355
356
357
358
359
360
361
362
363
        self.path_out = path_out  # updated by self.set_outpathes
        self.fmt_out = fmt_out
        self.out_creaOpt = out_crea_options
        self.win_pos_XY = wp  # updated by self.get_opt_winpos_winsize()
        self.win_size_XY = ws  # updated by self.get_opt_winpos_winsize()
        self.max_iter = max_iter
        self.max_shift = max_shift
        self.align_grids = align_grids
        self.match_gsd = match_gsd
        self.out_gsd = out_gsd
        self.target_xyGrid = target_xyGrid
        self.rspAlg_DS = resamp_alg_deshift \
364
            if isinstance(resamp_alg_deshift, str) else _dict_rspAlg_rsp_Int[resamp_alg_deshift]
365
        self.rspAlg_calc = resamp_alg_calc \
366
            if isinstance(resamp_alg_calc, str) else _dict_rspAlg_rsp_Int[resamp_alg_calc]
367
368
369
        self.calc_corners = calc_corners
        self.CPUs = CPUs
        self.bin_ws = binary_ws
370
        self.force_quadratic_win = force_quadratic_win
371
372
373
374
375
376
377
        self.v = v
        self.path_verbose_out = path_verbose_out
        self.q = q if not v else False  # overridden by v
        self.progress = progress if not q else False  # overridden by q

        self.ignErr = ignore_errors
        self.max_win_sz_changes = 3  # TODO: änderung der window size, falls nach max_iter kein valider match gefunden
378
379
380
381
382
383
        self.ref: Optional[GeoArray_CoReg] = None  # set by self.get_image_params
        self.shift: Optional[GeoArray_CoReg] = None  # set by self.get_image_params
        self.matchBox: Optional[boxObj] = None  # set by self.get_clip_window_properties()
        self.otherBox: Optional[boxObj] = None  # set by self.get_clip_window_properties()
        self.matchWin: Optional[GeoArray] = None  # set by self._get_image_windows_to_match()
        self.otherWin: Optional[GeoArray] = None  # set by self._get_image_windows_to_match()
384
385
386
        self.overlap_poly = None  # set by self._get_overlap_properties()
        self.overlap_percentage = None  # set by self._get_overlap_properties()
        self.overlap_area = None  # set by self._get_overlap_properties()
387
388
        self.imfft_xgsd = None  # set by self.get_clip_window_properties()
        self.imfft_ygsd = None  # set by self.get_clip_window_properties()
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
        self.fftw_works = None  # set by self._calc_shifted_cross_power_spectrum()
        self.fftw_win_size_YX = None  # set by calc_shifted_cross_power_spectrum()

        self.x_shift_px = None  # always in shift image units (image coords) # set by calculate_spatial_shifts()
        self.y_shift_px = None  # always in shift image units (image coords) # set by calculate_spatial_shifts()
        self.x_shift_map = None  # set by self.get_updated_map_info()
        self.y_shift_map = None  # set by self.get_updated_map_info()
        self.vec_length_map = None
        self.vec_angle_deg = None
        self.updated_map_info = None  # set by self.get_updated_map_info()
        self.ssim_orig = None  # set by self._validate_ssim_improvement()
        self.ssim_deshifted = None  # set by self._validate_ssim_improvement()
        self._ssim_improved = None  # private attribute to be filled by self.ssim_improved
        self.shift_reliability = None  # set by self.calculate_spatial_shifts()

        self.tracked_errors = []  # expanded each time an error occurs
        self.success = None  # default
        self.deshift_results = None  # set by self.correct_shifts()
407

408
        # try:
409
410
411
        gdal.AllRegister()
        self._get_image_params()
        self._set_outpathes(im_ref, im_tgt)
412
        self.grid2use = 'ref' if self.shift.xgsd <= self.ref.xgsd else 'shift'
413
414
        if self.v:
            print('resolutions: ', self.ref.xgsd, self.shift.xgsd)
415

416
        self._get_overlap_properties()
417
418

        if self.v and self.path_verbose_out:
419
420
421
            write_shp(os.path.join(self.path_verbose_out, 'poly_imref.shp'), self.ref.poly, self.ref.prj)
            write_shp(os.path.join(self.path_verbose_out, 'poly_im2shift.shp'), self.shift.poly, self.shift.prj)
            write_shp(os.path.join(self.path_verbose_out, 'overlap_poly.shp'), self.overlap_poly, self.ref.prj)
422

423
424
        # FIXME: transform_mapPt1_to_mapPt2(im2shift_center_map, ds_imref.GetProjection(), ds_im2shift.GetProjection())
        # FIXME später basteln für den fall, dass projektionen nicht gleich sind
425
426
427

        # get_clip_window_properties
        self._get_opt_winpos_winsize()
428
429
430
        if not self.q:
            print('Matching window position (X,Y): %s/%s' % (self.win_pos_XY[0], self.win_pos_XY[1]))
        self._get_clip_window_properties()  # sets self.matchBox, self.otherBox and much more
431

432
        if self.v and self.path_verbose_out and self.matchBox.mapPoly and self.success is not False:
433
434
            write_shp(os.path.join(self.path_verbose_out, 'poly_matchWin.shp'),
                      self.matchBox.mapPoly, self.matchBox.prj)
435

436
        self.success = False if self.success is False or not self.matchBox.boxMapYX else None
437
438
439

        # except BaseException:

440
        self._coreg_info = None  # private attribute to be filled by self.coreg_info property
441

442
    def _handle_error(self, error, warn=False, warnMsg=None):
Daniel Scheffler's avatar
Daniel Scheffler committed
443
444
445
        """Append the given error to self.tracked_errors.

        This sets self.success to False and raises the error in case self.ignore_errors = True.
446
447
448
449
450
451
452
453
454
455
456
457
458

        :param error:   instance of an error
        :param warn:    whether to give a warning in case error would be ignored otherwise
        :param warnMsg: a custom message for the warning
        :return:
        """
        warn = warn or warnMsg is not None or self.v

        self.tracked_errors.append(error)
        self.success = False

        if self.ignErr and warn:
            warnMsg = repr(error) if not warnMsg else warnMsg
459
            print('\nWARNING: ' + warnMsg)
460
461
462
463

        if not self.ignErr:
            raise error

464
465
466
467
    def _set_outpathes(self,
                       im_ref: Union[(GeoArray, str)],
                       im_tgt: Union[(GeoArray, str)]
                       ) -> None:
468
469
470
471
472
        def get_baseN(path):
            return os.path.splitext(os.path.basename(path))[0]

        # get input paths
        def get_input_path(im):
Daniel Scheffler's avatar
Daniel Scheffler committed
473
474
475
476
477
478
479
480
            path = im.filePath if isinstance(im, GeoArray) else im

            if isinstance(im, GeoArray) and im.filePath is None and self.path_out == 'auto':
                raise ValueError(self.path_out, "The output path must be explicitly set in case the input "
                                                "reference or target image is in-memory (without a reference to a "
                                                "physical file on disk). Received path_out='%s'." % self.path_out)

            return path
481

Daniel Scheffler's avatar
Daniel Scheffler committed
482
483
        path_im_ref = get_input_path(im_ref)
        path_im_tgt = get_input_path(im_tgt)
484

485
        if self.path_out:  # this also applies to self.path_out='auto'
486
487
488
489

            if self.path_out == 'auto':
                dir_out, fName_out = os.path.dirname(path_im_tgt), ''
            else:
490
                dir_out, fName_out = os.path.split(self.path_out)
491
492
493
494
495
496
497
498
499
500
501
502
503
504

            if dir_out and fName_out:
                # a valid output path is given => do nothing
                pass

            else:
                # automatically create an output directory and filename if not given
                if not dir_out:
                    if not path_im_ref:
                        dir_out = os.path.abspath(os.path.curdir)
                    else:
                        dir_out = os.path.dirname(path_im_ref)

                if not fName_out:
505
506
507
508
509
                    ext = 'bsq' if self.fmt_out == 'ENVI' else \
                        gdal.GetDriverByName(self.fmt_out).GetMetadataItem(gdal.DMD_EXTENSION)
                    fName_out = fName_out if fName_out not in ['.', ''] else \
                        '%s__shifted_to__%s' % (get_baseN(path_im_tgt), get_baseN(path_im_ref))
                    fName_out = fName_out + '.%s' % ext if ext else fName_out
510

511
                self.path_out = os.path.abspath(os.path.join(dir_out, fName_out))
512
513
514
515

                assert ' ' not in self.path_out, \
                    "The path of the output image contains whitespaces. This is not supported by GDAL."
        else:
516
            # this only happens if COREG is not instanced from within Python and self.path_out is explicitly set to None
517
518
519
520
521
522
523
524
525
526
527
            # => DESHIFTER will return an array
            pass

        if self.v:
            if self.path_verbose_out:
                dir_out, dirname_out = os.path.split(self.path_verbose_out)

                if not dir_out:
                    if self.path_out:
                        self.path_verbose_out = os.path.dirname(self.path_out)
                    else:
528
529
530
                        self.path_verbose_out = \
                            os.path.abspath(os.path.join(os.path.curdir, 'CoReg_verboseOut__%s__shifted_to__%s'
                                                         % (get_baseN(path_im_tgt), get_baseN(path_im_ref))))
531
532
533
534
535
536
537
538
539
                elif dirname_out and not dir_out:
                    self.path_verbose_out = os.path.abspath(os.path.join(os.path.curdir, dirname_out))

                assert ' ' not in self.path_verbose_out, \
                    "'path_verbose_out' contains whitespaces. This is not supported by GDAL."

        else:
            self.path_verbose_out = None

540
541
        if self.path_verbose_out and not os.path.isdir(self.path_verbose_out):
            os.makedirs(self.path_verbose_out)
542

543
    def _get_image_params(self) -> None:
544
545
        self.ref = GeoArray_CoReg(self.params, 'ref')
        self.shift = GeoArray_CoReg(self.params, 'shift')
546
547

        if not prj_equal(self.ref.prj, self.shift.prj):
548
549
            from pyproj import CRS

550
551
552
553
554
555
            crs_ref = CRS.from_user_input(self.ref.prj)
            crs_shift = CRS.from_user_input(self.shift.prj)

            name_ref, name_shift = \
                (crs_ref.name, crs_shift.name) if not crs_ref.name == crs_shift.name else (crs_ref.srs, crs_shift.srs)

556
            raise RuntimeError(
557
                'Input projections are not equal. Different projections are currently not supported. '
558
                'Got %s vs. %s.' % (name_ref, name_shift))
559

560
    def _get_overlap_properties(self) -> None:
561
562
563
564
565
566
        with warnings.catch_warnings():
            # already warned in GeoArray_CoReg.__init__()
            warnings.filterwarnings("ignore", category=RuntimeWarning, message=".*disjunct.*")

            overlap_tmp = get_overlap_polygon(self.ref.poly, self.shift.poly, self.v)

567
568
569
        self.overlap_poly = overlap_tmp['overlap poly']  # has to be in reference projection
        self.overlap_percentage = overlap_tmp['overlap percentage']
        self.overlap_area = overlap_tmp['overlap area']
570
571
572
573

        assert self.overlap_poly, 'The input images have no spatial overlap.'

        # overlap are must at least cover 16*16 pixels
574
575
576
577
        px_area = self.ref.xgsd * self.ref.ygsd if self.grid2use == 'ref' else self.shift.xgsd * self.shift.ygsd
        px_covered = self.overlap_area / px_area
        assert px_covered > 16 * 16, \
            'Overlap area covers only %s pixels. At least 16*16 pixels are needed.' % px_covered
578

579
    def equalize_pixGrids(self) -> None:
Daniel Scheffler's avatar
Daniel Scheffler committed
580
        """Equalize image grids and projections of reference and target image (align target to reference)."""
581
        if not (prj_equal(self.ref.prj, self.shift.prj) and
582
                is_coord_grid_equal(self.ref.gt, *self.shift.xygrid_specs, tolerance=1e8)):
583
584
            if not self.q:
                print("Equalizing pixel grids and projections of reference and target image...")
Daniel Scheffler's avatar
Daniel Scheffler committed
585

586
            if self.grid2use == 'ref':
587
                # resample target image to reference image
Daniel Scheffler's avatar
Bugfix.    
Daniel Scheffler committed
588
589
                if self.shift.bands > 1:
                    self.shift = self.shift.get_subset(zslice=slice(self.shift.band4match, self.shift.band4match + 1))
590
                self.shift.reproject_to_new_grid(prototype=self.ref, CPUs=self.CPUs)
591
                self.shift.band4match = 0  # after resampling there is only one band in the GeoArray
592

593
594
            else:
                # resample reference image to target image
Daniel Scheffler's avatar
Bugfix.    
Daniel Scheffler committed
595
596
                if self.ref.bands > 1:
                    self.ref = self.ref.get_subset(zslice=slice(self.ref.band4match, self.ref.band4match + 1))
597
                self.ref.reproject_to_new_grid(prototype=self.shift, CPUs=self.CPUs)
Daniel Scheffler's avatar
Daniel Scheffler committed
598
                self.ref.band4match = 0  # after resampling there is only one band in the GeoArray
599

600
601
602
            # self.ref.gt = (self.ref.gt[0], 1, self.ref.gt[2], self.ref.gt[3], self.ref.gt[4], -1)
            # self.shift.gt = (self.shift.gt[0], 1, self.shift.gt[2], self.shift.gt[3], self.shift.gt[4], -1)

603
    def show_image_footprints(self):
Daniel Scheffler's avatar
Daniel Scheffler committed
604
605
606
607
        """Show a web map containing the calculated footprints and overlap area of the input images.

        NOTE: This method is intended to be called from Jupyter Notebook.
        """
608
609
610
        # TODO different colors for polygons
        assert self.overlap_poly, 'Please calculate the overlap polygon first.'

611
612
        import folium
        import geojson
613

614
615
616
617
        refPoly = reproject_shapelyGeometry(self.ref.poly, self.ref.prj, 4326)
        shiftPoly = reproject_shapelyGeometry(self.shift.poly, self.shift.prj, 4326)
        overlapPoly = reproject_shapelyGeometry(self.overlap_poly, self.shift.prj, 4326)
        matchBoxPoly = reproject_shapelyGeometry(self.matchBox.mapPoly, self.shift.prj, 4326)
618
619

        m = folium.Map(location=tuple(np.array(overlapPoly.centroid.coords.xy).flatten())[::-1])
620
        for poly in [refPoly, shiftPoly, overlapPoly, matchBoxPoly]:
621
622
623
624
            gjs = geojson.Feature(geometry=poly, properties={})
            folium.GeoJson(gjs).add_to(m)
        return m

625
626
627
628
629
630
    def show_matchWin(self,
                      figsize: tuple = (15, 15),
                      interactive: bool = True,
                      after_correction: bool = None,
                      pmin=2,
                      pmax=98):
631
        """Show the image content within the matching window.
632

633
634
        :param figsize:             figure size
        :param interactive:         whether to return an interactive figure based on 'holoviews' library
635
636
637
638
639
        :param after_correction:    True/False: show the image content AFTER shift correction or before
                                    None: show both states - before and after correction (default)
        :param pmin:                percentage to be used for excluding the darkest pixels from stretching (default: 2)
        :param pmax:                percentage to be used for excluding the brightest pixels from stretching
                                    (default: 98)
640
641
        :return:
        """
642
643
644
645
646
        if not self.success and after_correction in [True, None]:
            warnings.warn('It is only possible to show the matching window before correction of spatial displacements '
                          'because no valid displacement has been calculated yet.')
            after_correction = False

647
648
649
650
651
        if interactive:
            # use Holoviews
            try:
                import holoviews as hv
            except ImportError:
652
                hv = None
653
654
655
            if not hv:
                raise ImportError(
                    "This method requires the library 'holoviews'. It can be installed for Anaconda with "
656
                    "the shell command 'conda install -c conda-forge holoviews bokeh'.")
657

658
            hv.notebook_extension('matplotlib')
659
660
661
662
663
664
665
            hv.Store.add_style_opts(hv.Image, ['vmin', 'vmax'])

            # hv.Store.option_setters.options().Image = hv.Options('style', cmap='gnuplot2')
            # hv.Store.add_style_opts(hv.Image, ['cmap'])
            # renderer = hv.Store.renderers['matplotlib'].instance(fig='svg', holomap='gif')
            # RasterPlot = renderer.plotting_class(hv.Image)
            # RasterPlot.cmap = 'gray'
666
            otherWin_corr = self._get_deshifted_otherWin() if after_correction in [True, None] else None
667
668
            xmin, xmax, ymin, ymax = self.matchBox.boundsMap

669
            def get_hv_image(geoArr):
670
671
                from skimage.exposure import rescale_intensity  # import here to avoid static TLS ImportError

672
673
674
675
676
                arr_masked = np.ma.masked_equal(geoArr[:], geoArr.nodata)
                vmin = np.nanpercentile(arr_masked.compressed(), pmin)
                vmax = np.nanpercentile(arr_masked.compressed(), pmax)
                arr2plot = rescale_intensity(arr_masked, in_range=(vmin, vmax), out_range='int8')

677
678
679
680
681
682
683
684
                return hv.Image(arr2plot, bounds=(xmin, ymin, xmax, ymax))\
                    .opts(style={'cmap': 'gray',
                                 'vmin': vmin,
                                 'vmax': vmax,
                                 'interpolation': 'none'},
                          plot={'fig_inches': figsize,
                                # 'fig_size': 100,
                                'show_grid': True})
685

686
687
            hvIm_matchWin = get_hv_image(self.matchWin)
            hvIm_otherWin_orig = get_hv_image(self.otherWin)
688
            hvIm_otherWin_corr = get_hv_image(otherWin_corr) if after_correction in [True, None] else None
689

690
691
692
            if after_correction is None:
                # view both states
                print('Matching window before and after correction (above and below): ')
693

694
                # get layouts (docs on options: https://holoviews.org/user_guide)
695
696
                layout_before = (hvIm_matchWin + hvIm_matchWin).opts(plot=dict(fig_inches=figsize))
                layout_after = (hvIm_otherWin_orig + hvIm_otherWin_corr).opts(plot=dict(fig_inches=figsize))
697

698
699
700
701
702
703
704
705
706
707
                # plot!
                imgs = {1: layout_before, 2: layout_after}
                hmap = hv.HoloMap(imgs, kdims=['image']).collate().cols(1)

            else:
                # view state before or after correction
                imgs = {1: hvIm_matchWin, 2: hvIm_otherWin_corr if after_correction else hvIm_otherWin_orig}
                hmap = hv.HoloMap(imgs, kdims=['image'])

            # Construct a HoloMap by evaluating the function over all the keys
708
            # hmap = hv.HoloMap(imgs_corr, kdims=['image']) +  hv.HoloMap(imgs_corr, kdims=['image'])
709

710
711
            # Construct a HoloMap by defining the sampling on the Dimension
            # dmap = hv.DynamicMap(image_slice, kdims=[hv.Dimension('z_axis', values=keys)])
712

713
            return hmap
714

715
716
        else:
            # TODO add titles
Daniel Scheffler's avatar
Daniel Scheffler committed
717
            # TODO handle after_correction=None here
718
            self.matchWin.show(figsize=figsize)
719
            if after_correction:
720
                self._get_deshifted_otherWin().show(figsize=figsize, pmin=pmin, pmax=pmax)
721
            else:
722
                self.otherWin.show(figsize=figsize, pmin=pmin, pmax=pmax)
723

724
    def show_cross_power_spectrum(self, interactive: bool = False) -> None:
Daniel Scheffler's avatar
Daniel Scheffler committed
725
726
727
728
        """Show a 3D surface of the cross power spectrum.

        NOTE: The cross power spectrum is the result from phase correlating the reference and target
              image within the matching window.
729
730
731
732
733
734
735

        :param interactive:  whether to return an interactice 3D surface plot based on 'plotly' library
        :return:
        """
        if interactive:
            # create plotly 3D surface

736
            # import plotly.plotly as py # online mode -> every plot is uploaded into online plotly account
737
738
739
740
741
742
            from plotly.offline import iplot, init_notebook_mode
            import plotly.graph_objs as go

            init_notebook_mode(connected=True)

            z_data = self._calc_shifted_cross_power_spectrum()
743
            data = [go.Surface(z=z_data)]
744
745
746
747
748
            layout = go.Layout(
                title='cross power spectrum',
                autosize=False,
                width=1000,
                height=1000,
749
                margin={'l': 65, 'r': 50, 'b': 65, 't': 90})
750
            fig = go.Figure(data=data, layout=layout)
751
752
753
754
755
756
757
758

            return iplot(fig, filename='SCPS')

        else:
            # use matplotlib
            scps = self._calc_shifted_cross_power_spectrum()
            PLT.subplot_3dsurface(scps.astype(np.float32))

759
    def _get_opt_winpos_winsize(self) -> None:
Daniel Scheffler's avatar
Daniel Scheffler committed
760
761
762
        """Calculate optimal window position and size in reference image units.

        NOTE: The returned values are computed according to DGM, cloud_mask and trueCornerLonLat.
763
        """
764
765
766
767
        # dummy algorithm: get center position of overlap instead of searching ideal window position in whole overlap
        # TODO automatischer Algorithmus zur Bestimmung der optimalen Window Position

        wp = tuple(self.win_pos_XY)
768
769
        assert type(self.win_pos_XY) in [tuple, list, np.ndarray], \
            'The window position must be a tuple of two elements. Got %s with %s elements.' % (type(wp), len(wp))
770
771
772
        wp = tuple(wp)

        if None in wp:
773
            # use centroid point if possible
774
775
776
            overlap_center_pos_x, overlap_center_pos_y = self.overlap_poly.centroid.coords.xy
            wp = (wp[0] if wp[0] else overlap_center_pos_x[0]), (wp[1] if wp[1] else overlap_center_pos_y[0])

777
            # validate window position
778
            if not self.overlap_poly.buffer(1e-5).contains(Point(wp)):
779
780
781
782
783
784
785
786
787
788
789
                # in case the centroid point is not within overlap area
                if not self.q:
                    warnings.warn("The centroid point of the two input images could not be used as matching window "
                                  "position since it is outside of the overlap area. Instead the so called "
                                  "'representative point' is used. Alternatively you can provide your own window "
                                  "position as input parameter.")

                # -> use representative point: a point that is garanteed to be within overlap polygon
                overlap_center_pos_x, overlap_center_pos_y = self.overlap_poly.representative_point().coords.xy
                wp = overlap_center_pos_x[0], overlap_center_pos_y[0]

790
            assert self.overlap_poly.buffer(1e-5).contains(Point(wp))
791
792
793

        else:
            # validate window position
794
            if not self.overlap_poly.buffer(1e-5).contains(Point(wp)):
795
                self._handle_error(ValueError('The provided window position %s/%s is outside of the overlap '
796
                                              'area of the two input images. Check the coordinates.' % wp))
797
798
799
800
801
802

        # check if window position is within bad data area if a respective mask has been provided
        for im in [self.ref, self.shift]:
            if im.mask_baddata is not None:
                imX, imY = mapXY2imXY(wp, im.mask_baddata.gt)

803
                if im.mask_baddata[int(imY), int(imX)] is True:
804
                    self._handle_error(
805
                        RuntimeError('According to the provided bad data mask for the %s the chosen window position '
806
807
808
                                     '%s / %s is within a bad data area. Using this window position for coregistration '
                                     'is not reasonable. Please provide a better window position!'
                                     % (im.imName, wp[0], wp[1])))
809

810
811
        self.win_pos_XY = wp
        self.win_size_XY = (int(self.win_size_XY[0]), int(self.win_size_XY[1])) if self.win_size_XY else (512, 512)
812

813
    def _get_clip_window_properties(self) -> None:
Daniel Scheffler's avatar
Daniel Scheffler committed
814
815
816
817
818
        """Calculate all properties of the matching window and the other window.

        These windows are used to read the corresponding image positions in the reference and the target image.

        NOTE: Even if X- and Y-dimension of the target window is equal, the output window can be NON-quadratic!
819
820
821
        """
        # FIXME image sizes like 10000*256 are still possible

822
823
        wpX, wpY = self.win_pos_XY
        wsX, wsY = self.win_size_XY
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847

        # image units -> map units
        ref_wsX = wsX * self.ref.xgsd
        ref_wsY = wsY * self.ref.ygsd
        shift_wsX = wsX * self.shift.xgsd
        shift_wsY = wsY * self.shift.ygsd

        ref_box_kwargs = \
            dict(wp=(wpX, wpY),
                 ws=(ref_wsX, ref_wsY),
                 gt=self.ref.gt)
        shift_box_kwargs = \
            dict(wp=(wpX, wpY),
                 ws=(shift_wsX, shift_wsY),
                 gt=self.shift.gt)
        matchBox =\
            boxObj(**ref_box_kwargs) if self.grid2use == 'ref' else \
            boxObj(**shift_box_kwargs)
        otherBox = \
            boxObj(**shift_box_kwargs) if self.grid2use == 'ref' else \
            boxObj(**ref_box_kwargs)
        overlapWin = \
            boxObj(mapPoly=self.overlap_poly,
                   gt=self.ref.gt)
848
849

        # clip matching window to overlap area
850
851
        matchBox.mapPoly = matchBox.mapPoly.intersection(overlapWin.mapPoly)

852
        # check if matchBox extent touches no data area of the image -> if yes: shrink it
853
854
        overlapPoly_within_matchWin = matchBox.mapPoly.intersection(self.overlap_poly)
        if overlapPoly_within_matchWin.area < matchBox.mapPoly.area:
855
856
857
858
859
860
861
            wsX_start, wsY_start = \
                1 if wsX >= wsY else \
                wsX / wsY, 1 if wsY >= wsX else \
                wsY / wsX
            box = boxObj(**dict(wp=(wpX, wpY),
                                ws=(wsX_start, wsY_start),
                                gt=matchBox.gt))
862
            while True:
863
                box.buffer_imXY(1, 1)
864
865
866
867
                if not box.mapPoly.within(overlapPoly_within_matchWin):
                    box.buffer_imXY(-1, -1)
                    matchBox = box
                    break
868
869

        # move matching window to imref grid or im2shift grid
870
871
        mW_rows, mW_cols = \
            (self.ref.rows, self.ref.cols) if self.grid2use == 'ref' else \
872
            (self.shift.rows, self.shift.cols)
873
874
875
876
        matchBox.mapPoly = move_shapelyPoly_to_image_grid(matchBox.mapPoly,
                                                          matchBox.gt, mW_rows,
                                                          mW_cols,
                                                          'NW')
877

878
        # check, if matchBox was moved outside of overlap_poly when moving it to the image grid
879
        if not matchBox.mapPoly.within(overlapWin.mapPoly):
880
            # further shrink matchPoly (1 px buffer is enough because the window was only moved to the grid)
881
            xLarger, yLarger = matchBox.is_larger_DimXY(overlapWin.boundsIm)
882
883
            matchBox.buffer_imXY(-1 if xLarger else 0,
                                 -1 if yLarger else 0)
884

885
        # matching_win directly on grid2use (fix rounding error through coordinate transformation)
886
        matchBox.imPoly = round_shapelyPoly_coords(matchBox.imPoly, precision=0)
887

888
889
890
891
892
893
894
895
896
897
898
899
900
        # check if matching window larger than the other one or equal
        if not (matchBox.mapPoly.within(otherBox.mapPoly) or
                matchBox.mapPoly == otherBox.mapPoly):
            # if yes, find the smallest 'other window' that encloses the matching window
            otherBox.boxImYX = \
                get_smallest_boxImYX_that_contains_boxMapYX(
                    matchBox.boxMapYX,
                    otherBox.gt,
                    tolerance_ndigits=5  # avoids float coordinate rounding issues
                )

        # in case after enlarging the 'other window', it gets too large for the overlap area
        # -> shrink match window and recompute smallest possible other window until everything is fine
Daniel Scheffler's avatar
Daniel Scheffler committed
901
        t_start = time.time()
902
903
        while not otherBox.mapPoly.within(overlapWin.mapPoly):
            xLarger, yLarger = otherBox.is_larger_DimXY(overlapWin.boundsIm)
904
905
            matchBox.buffer_imXY(-1 if xLarger else 0,
                                 -1 if yLarger else 0)
906
            previous_area = otherBox.mapPoly.area
907
908
909
910
911
912
913
914
915
            otherBox.boxImYX = \
                get_smallest_boxImYX_that_contains_boxMapYX(
                    matchBox.boxMapYX,
                    otherBox.gt,
                    tolerance_ndigits=5  # avoids float coordinate rounding issues
                )

            if previous_area == otherBox.mapPoly.area or \
               time.time() - t_start > 1.5:
Daniel Scheffler's avatar
Daniel Scheffler committed
916
917
                # happens e.g in case of a triangular footprint
                # NOTE: first condition is not always fulfilled -> therefore added timeout of 1.5 sec
918
                self._handle_error(
919
920
                    RuntimeError('Matching window in target image is larger than overlap area but further shrinking '
                                 'the matching window is not possible. Check if the footprints of the input data have '
921
                                 'been computed correctly.' +
922
923
                                 (' Matching window shrinking timed out.' if time.time() - t_start > 5 else '')))
                break  # break out of while loop in order to avoid that code gets stuck here
924

Daniel Scheffler's avatar
Daniel Scheffler committed
925
926
        # output validation
        for winBox in [matchBox, otherBox]:
927
928
            if winBox.imDimsYX[0] < 16 or \
               winBox.imDimsYX[1] < 16:
Daniel Scheffler's avatar
Daniel Scheffler committed
929
930
931
932
                self._handle_error(
                    RuntimeError("One of the input images does not have sufficient gray value information "
                                 "(non-no-data values) for placing a matching window at the position %s. "
                                 "Matching failed." % str((wpX, wpY))))
Daniel Scheffler's avatar
Daniel Scheffler committed
933

934
        if self.success is not False:
Daniel Scheffler's avatar
Daniel Scheffler committed
935
            # check result -> ProgrammingError if not fulfilled
936
            def within_equal(inner, outer):
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
                return inner.within(outer.buffer(1e-5)) or \
                       inner.equals(outer)

            assert within_equal(matchBox.mapPoly,
                                otherBox.mapPoly)
            assert within_equal(otherBox.mapPoly,
                                overlapWin.mapPoly)

            if self.grid2use == 'ref':
                self.imfft_xgsd = self.ref.xgsd
                self.imfft_ygsd = self.ref.ygsd
                self.ref.win = matchBox
                self.shift.win = otherBox
            else:
                self.imfft_xgsd = self.shift.xgsd
                self.imfft_ygsd = self.shift.ygsd
                self.ref.win = otherBox
                self.shift.win = matchBox
955

956
957
            self.matchBox = matchBox
            self.otherBox = otherBox
958

959
960
961
            self.ref.win.size_YX = tuple([int(i) for i in self.ref.win.imDimsYX])
            self.shift.win.size_YX = tuple([int(i) for i in self.shift.win.imDimsYX])
            match_win_size_XY = tuple(reversed([int(i) for i in matchBox.imDimsYX]))
962

963
964
            if not self.q and \
               match_win_size_XY != self.win_size_XY:
965
                print('Target window size %s not possible due to too small overlap area or window position too close '
966
                      'to an image edge. New matching window size: %s.' % (self.win_size_XY, match_win_size_XY))
967

968
969
                # write_shp('matchMapPoly.shp', matchBox.mapPoly,matchBox.prj)
                # write_shp('otherMapPoly.shp', otherBox.mapPoly,otherBox.prj)
970

971
    def _get_image_windows_to_match(self) -> None:
Daniel Scheffler's avatar
Daniel Scheffler committed
972
        """Read the matching window and the other window as subsets.
973

Daniel Scheffler's avatar
Daniel Scheffler committed
974
975
976
        Th other window is resampled to the resolution and the pixel grid of the matching window.
        The result consists of two images with the same dimensions and exactly the same corner coordinates.
        """
977
978
        match_fullGeoArr = self.ref if self.grid2use == 'ref' else self.shift
        other_fullGeoArr = self.shift if self.grid2use == 'ref' else self.ref
979

Daniel Scheffler's avatar
Daniel Scheffler committed
980
        # read matchWin via subset-read -> self.matchWin.data
981
        rS, rE, cS, cE = GEO.get_GeoArrayPosition_from_boxImYX(self.matchBox.boxImYX)
982
        assert np.array_equal(np.abs(np.array([rS, rE, cS, cE])), np.array([rS, rE, cS, cE])) and \
Daniel Scheffler's avatar
Daniel Scheffler committed
983
            rE <= match_fullGeoArr.rows and cE <= match_fullGeoArr.cols, \
984
985
986
987
988
            'Requested area is not completely within the input array for %s.' % match_fullGeoArr.imName
        self.matchWin = GeoArray(match_fullGeoArr[rS:rE + 1, cS:cE + 1, match_fullGeoArr.band4match],
                                 geotransform=GEO.get_subset_GeoTransform(match_fullGeoArr.gt, self.matchBox.boxImYX),
                                 projection=copy(match_fullGeoArr.prj),
                                 nodata=copy(match_fullGeoArr.nodata))
989
        self.matchWin.imID = match_fullGeoArr.imID
990

Daniel Scheffler's avatar
Daniel Scheffler committed
991
        # read otherWin via subset-read
992
        rS, rE, cS, cE = GEO.get_GeoArrayPosition_from_boxImYX(self.otherBox.boxImYX)
993
        assert np.array_equal(np.abs(np.array([rS, rE, cS, cE])), np.array([rS, rE, cS, cE])) and \
Daniel Scheffler's avatar
Daniel Scheffler committed
994
            rE <= other_fullGeoArr.rows and cE <= other_fullGeoArr.cols, \
995
996
997
998
999
            'Requested area is not completely within the input array for %s.' % other_fullGeoArr.imName
        self.otherWin = GeoArray(other_fullGeoArr[rS:rE + 1, cS:cE + 1, other_fullGeoArr.band4match],
                                 geotransform=GEO.get_subset_GeoTransform(other_fullGeoArr.gt, self.otherBox.boxImYX),
                                 projection=copy(other_fullGeoArr.prj),
                                 nodata=copy(other_fullGeoArr.nodata))
1000
        self.otherWin.imID = other_fullGeoArr.imID
For faster browsing, not all history is shown. View entire blame