@article {12607,
	title = {Physics-Based Detectors Applied to Long-Wave Infrared Hyperspectral Data},
	year = {2006},
	month = {2006/11//},
	institution = {CENTER FOR AUTOMATION RESEARCH, UNIVERSITY OF MARYLAND COLLEGE PARK},
	abstract = {Long-wave infrared (LWIR) hyperspectral image (HSI) data presents an interesting challenge for automatic target detection algorithms. LWIR HSI data is useful for both day and night operations, but weak signatures like disturbed soil can be problematic for standard matched-filter techniques. In this paper, we augment the standard matched-filter techniques with physics-based information particular to HSI data. Our results show that these physics-based detectors provide improved detection performance with quick processing times.},
	keywords = {*HYPERSPECTRAL IMAGERY, algorithms, AUTOMATIC, DETECTION, FAR INFRARED RADIATION, LOW STRENGTH, Matched filters, MILITARY OPERATIONS, NIGHT, OPTICS, SIGNATURES, SOILS, SPECTROMETERS, TARGET DETECTION},
	url = {http://stinet.dtic.mil/oai/oai?\&verb=getRecord\&metadataPrefix=html\&identifier=ADA481339},
	author = {Broadwater,Joshua and Chellapa, Rama}
}
