Parameter estimation for support vector anomaly detection in hyperspectral imagery

摘要

Hyperspectral Image (HSI) anomaly detectors typically employ local background modeling techniques to facilitate targetdetection from surrounding clutter. Global background modeling has been challenging due to the multi-modal contentthat must be automatica