Algorithm Development for Hyperspectral Anomaly Detection

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. You can also Subscribe to FINAL YEAR PROJECT'S by Email for more such Projects and Seminar.

Author:-Rosario, Dalton Souza
Source:- University of Maryland

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