Water-Based-Indices-on-Sentinel-2A-Images-using-Python
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Chintan2108
Perform Thresholding for LandSat-8 Images
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Right now, a simple band math formula has been applied to the input image.
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This outputs a grayscale image - the pixels having higher probability of having the feature of interest have a high value (0-255) and hence appear towards the brighter side.
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[ ] Perform thresholding, decide a threshold value, in order to convert the output grayscale image into a binary feature map
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Use data available as a part of PR #9
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For eg: If the threshold is decided as 200, then modify the output image such that all pixels having values greater than or equal to 200 will now have a value of 1, and other pixels will have a value of 0. This will result in a binary image, in which the bright pixels would represent features.
