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Right now, a simple band math formula has been applied to the input image.
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.
Perform thresholding, decide a threshold value, in order to convert the output grayscale image into a binary feature map
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.
The text was updated successfully, but these errors were encountered:
Right now, a simple band math formula has been applied to the input image.
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.
Perform thresholding, decide a threshold value, in order to convert the output grayscale image into a binary feature map
Use data available as a part of PR added Landsat 8 NDWI indices notebook #9
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.
The text was updated successfully, but these errors were encountered: