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23 August 2000 Target detection enhancement using temporal signature propagation
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Changes in atmospheric conditions and sensor response for successive imaging sessions have limited the use of fixed target hyperspectral libraries to help discriminate targets from cluttered backgrounds. The hyperspectral target signature instability and unpredictability have resulted in a dependence on anomaly detection algorithms in real time surveillance applications. However, the performance of these techniques fails to meet system requirements for many military applications. Our study examines temporal variations in the long-wave infrared spectra of man-made targets and natural backgrounds obtained with the SEBASS (8-12 µm) imager as part of the Dark HORSE 2 exercise during the HYDRA data collection in November, 1998. We examine the signature information propagated over various time intervals. In addition, the hyperspectral target signatures, taken over various time intervals, are transformed using image-based techniques and compared to those converted with methods based on atmospheric modeling. We show that detection performance can be dramatically improved by exploiting signature information propagated over various time intervals using image-based methods. Implications of this study for target detection enhancement using hyperspectral data derived from multiple flight missions and/or mathematical transformations of hyperspectral target signatures will be discussed.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rulon R. Mayer and Alan P. Schaum "Target detection enhancement using temporal signature propagation", Proc. SPIE 4049, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VI, (23 August 2000);

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