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A deep learning software package for cloud and aerosol classification from multi-satellite data
A NASA software catalog entry available for reuse or request.
About this technology
Overview
Classifying cloud and aerosol types from passive sensors is an important application in satellite remote sensing due to its wide spatial coverage. Here, we provide an end-to-end deep learning based domain adaptation approach to learn domain/sensor-invariant feature representation to classify cloud and aerosol types from passive sensors by learning from active and passive satellite remote sensing data.