Target detection using HSI systems: an update of TRW results

R. Daniel McGregor; Mai H. Nguyen; Ian S. Robinson; Arel Weisberg; Jerome X. Tull; Stuart D. Augustin; Robert W. Crow

doi:10.1117/12.328122

16 October 1998 Target detection using HSI systems: an update of TRW results

R. Daniel McGregor, Mai H. Nguyen, Ian S. Robinson, Arel Weisberg, Jerome X. Tull, Stuart D. Augustin, Robert W. Crow

Proceedings Volume 3438, Imaging Spectrometry IV; (1998) https://doi.org/10.1117/12.328122
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

Abstract

Hyperspectral imaging (HSI) systems have the potential for tremendous military utility. The ability to use detailed spectral information to characterize objects that may be sub-pixel in size enables efficient surveillance and terrain characterization over wide areas. TRW is actively involved in all aspects of HSI systems form building hyperspectral sensors and real-time processors to the development of processing algorithms. This paper presents performance results on hyperspectral imagery data for target detection. Whereas a recent paper presented results for the detection of known targets, this paper focuses on anomaly detection algorithms for application in those situations involving a high degree of target uncertainty or poor knowledge of atmospheric effects.

Citation Download Citation

R. Daniel McGregor, Mai H. Nguyen, Ian S. Robinson, Arel Weisberg, Jerome X. Tull, Stuart D. Augustin, and Robert W. Crow "Target detection using HSI systems: an update of TRW results", Proc. SPIE 3438, Imaging Spectrometry IV, (16 October 1998); https://doi.org/10.1117/12.328122

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