Tag: Hyperspectral imaging
Lightweight models achieved strong cloud masking accuracy
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What the study found Lightweight machine learning models for cloud and cloud shadow masking in hyperspectral satellite imaging reached accuracies above 93%. The CNN with feature reduction was the most efficient model in the study, combining high accuracy, low storage needs, and fast inference. Why the authors say this matters The authors say these results…
