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  • Daniel Scheffler
  • py_tools_ds
  • Issues
  • #19
Closed
Open
Issue created Dec 02, 2021 by Daniel Scheffler@danschefOwner

raster2polygon slow for input masks that contain many small raster polygons.

Might be fixed by GDALSieveFilter like:

from osgeo import gdal
Image = gdal.Open('SomeImageName.tif', 1)  # open image in read-write mode
Band = Image.GetRasterBand(1)
gdal.SieveFilter(srcBand=Band, maskBand=None, dstBand=Band, threshold=100, connectedness=8, callback=gdal.TermProgress_nocb)
del Image, Band  # close the datasets.
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