python - How can I predict an image using a set of physically related images? -
i'll explain question better figure:
what i'd predict top left image 'depth' (actually map of real snow depths) using or of other images in figure. other images type of elevation-based product. can see figure, there strong link between landscape pattern , snow depth pattern.
my hypothesis there mixture of other images can predict pattern in depth image @ least degree.
i know i'll need extract scalar features images , perform type of regression. sort of algorithms or techniques might me started? thanks!
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