@conference {12617,
	title = {An Adaptive Threshold Method for Hyperspectral Target Detection},
	booktitle = {Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on},
	volume = {5},
	year = {2006},
	month = {2006/05//},
	pages = {V - V},
	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},
	keywords = {adaptive, blind, detection;, detection;inverse, importance, method;background, processing;importance, sampling;geophysical, sampling;object, signal, statistics;hyperspectral, target, threshold},
	doi = {10.1109/ICASSP.2006.1661497},
	author = {Broadwater, J. and Chellapa, Rama}
}
