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Proceedings Paper

Target detection using HSI systems: an update of TRW results
Author(s): R. Daniel McGregor; Mai H. Nguyen; Ian S. Robinson; Arel Weisberg; Jerome X. Tull; Stuart D. Augustin; Robert W. Crow
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Paper 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.

Paper Details

Date Published: 16 October 1998
PDF: 14 pages
Proc. SPIE 3438, Imaging Spectrometry IV, (16 October 1998); doi: 10.1117/12.328122
Show Author Affiliations
R. Daniel McGregor, TRW Space and Electronics Group (United States)
Mai H. Nguyen, TRW Space and Electronics Group (United States)
Ian S. Robinson, TRW Space and Electronics Group (United States)
Arel Weisberg, TRW Space and Electronics Group (United States)
Jerome X. Tull, TRW Space and Electronics Group (United States)
Stuart D. Augustin, TRW Space and Electronics Group (United States)
Robert W. Crow, TRW Space and Electronics Group (United States)


Published in SPIE Proceedings Vol. 3438:
Imaging Spectrometry IV
Michael R. Descour; Sylvia S. Shen, Editor(s)

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