TY - RPRT T1 - Physics-Based Detectors Applied to Long-Wave Infrared Hyperspectral Data Y1 - 2006 A1 - Broadwater,Joshua A1 - Chellapa, Rama KW - *HYPERSPECTRAL IMAGERY KW - algorithms KW - AUTOMATIC KW - DETECTION KW - FAR INFRARED RADIATION KW - LOW STRENGTH KW - Matched filters KW - MILITARY OPERATIONS KW - NIGHT KW - OPTICS KW - SIGNATURES KW - SOILS KW - SPECTROMETERS KW - TARGET DETECTION AB - 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. PB - CENTER FOR AUTOMATION RESEARCH, UNIVERSITY OF MARYLAND COLLEGE PARK UR - http://stinet.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA481339 ER -