Algorithm Development for Hyperspectral Anomaly Detection Project proposes and evaluates a novel anomaly detection algorithm suite for ground-to-ground, or air-to-ground, applications requiring automatic target detection using hyperspectral (HS) data.You can use it for reference and study. Targets are manmade objects in natural background clutter under unknown illumination and atmospheric conditions.
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Author:-Rosario, Dalton Souza
Source:- University of Maryland
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