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Paper Detail

Paper:	SS-12.6
Session:	Hyperspectral Signal Processing
Time:	Friday, May 19, 18:10 - 18:30
Presentation:	Special Session Lecture
Topic:	Special Sessions: Hyperspectral signal processing
Title:	An Adaptive Threshold Method for Hyperspectral Target Detection
Authors:	Joshua Broadwater, Rama Chellappa, University of Maryland, United States
Abstract:	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.