An Adaptive Threshold Method for Hyperspectral Target Detection

TitleAn Adaptive Threshold Method for Hyperspectral Target Detection
Publication TypeConference Papers
Year of Publication2006
AuthorsBroadwater J, Chellappa R
Conference NameAcoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Date Published2006/05//
Keywordsadaptive, blind, detection;, detection;inverse, importance, method;background, processing;importance, sampling;geophysical, sampling;object, signal, statistics;hyperspectral, target, threshold

In this paper, we present a new approach to automatically determine a detector threshold. This research problem is especially important in hyperspectral target detection as targets are typically very similar to the background. While a number of methods exist to determine the threshold, these methods require either large amounts of data or make simplifying assumptions about the background distribution. We use a method called inverse blind importance sampling which requires few samples and makes no a-priori assumptions about the background statistics. Results show the promise of this algorithm to determine thresholds for fixed false alarm densities in hyperspectral detectors