Satellite image classification across multiple resolutions and time using ordering constraint among instances [patent]
November 18, 2021
Ankush Khandelwal (Ph.D. 2019), Anuj Karpatne (Ph.D. 2017), Vipin Kumar (professor)
A method includes receiving a satellite image of an area and classifying each pixel in the satellite image as representing water, land or unknown using a model. For each of a plurality of possible water levels, a cost associated with the water level is determined, wherein determining the cost associated with a water level includes determining a number of pixels for which the model classification must change to be consistent with the water level and determining a difference between the water level and a water level determined for the area at a previous time point. The lowest cost water level is selected and used to reclassify at least one pixel.