Satellite image classification across multiple resolutions and time using ordering constraint among instances [patent]

Publication date

November 18, 2021

Inventors

Ankush Khandelwal (Ph.D. 2019), Anuj Karpatne (Ph.D. 2017), Vipin Kumar (professor)

Abstract

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.

Link to patent application

Satellite image classification across multiple resolutions and time using ordering constraint among instances

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