|
# Habitat Sampler
|
|
# Habitat Sampler
|
|
|
|
|
|
Procedure on Autonomous Sampling and Reductive Learning in Imagery. |
|
Procedure on Autonomous Sampling and Reductive Learning in Imagery.
|
|
\ No newline at end of file |
|
|
|
|
|
HaSa documentation
|
|
|
|
1 Introduction
|
|
|
|
|
|
|
|
1.1 Sample/demo data
|
|
|
|
1.2 Machine learning classifiers
|
|
|
|
2 How to start/Input
|
|
|
|
|
|
|
|
2.1 Handling of image data
|
|
|
|
2.1.1 Data structure
|
|
|
|
2.1.2 Variable input imagery
|
|
|
|
2.1.3 Variable image categories
|
|
|
|
|
|
|
|
2.2 Selecting reference samples
|
|
|
|
2.2.1 Selecting refernence points
|
|
|
|
2.2.2 Selecting reference polygons
|
|
|
|
|
|
|
|
2.3 Selecting class names
|
|
|
|
3 Generating outputs
|
|
|
|
|
|
|
|
3.1 Calculating class probability
|
|
|
|
3.1.1 Choosing thresholds
|
|
|
|
3.1.2 Interactive probability maps
|
|
|
|
|
|
|
|
3.2 Generating image classification
|
|
|
|
3.2.1 Sample distributions
|
|
|
|
3.2.2 Spatial statistics
|
|
|
|
|