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Proceedings Paper

Trade-off studies of detection performance versus the number of reflective spectral bands in hyperspectral imagery
Author(s): Hanna Tran Haskett; Arun K. Sood
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Paper Abstract

This paper presents (1) trade-off studies of detection performance versus the number of bands using reflective hyperspectral imagery; (2) the quantitative detection performance of various approaches used in automatic target detection. The trade-off studies of detection performance versus the number of bands are based on the Adaptive Real-Time Endmember Selection and Clutter Suppression (ARES) algorithm. The ARES algorithm presents a new concept and approach for spectral-spatial aided/automatic target detection based on the unique characteristics of the spectral signatures produced by the hyperspectral imaging system for remote sensing surveillance and reconnaissance applications. This paper compares the quantitative detection performance based on the ARES algorithm with other automatic target detection approaches. This paper uses the Forest Radiance I database collected with the HYDICE hyperspectral sensor at Aberdeen U.S. Army Proving Ground in Maryland, including scenarios such as targets in the open, with footprint of 1 meter, and at different times of day.

Paper Details

Date Published: 2 July 1998
PDF: 17 pages
Proc. SPIE 3372, Algorithms for Multispectral and Hyperspectral Imagery IV, (2 July 1998); doi: 10.1117/12.312606
Show Author Affiliations
Hanna Tran Haskett, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Arun K. Sood, George Mason Univ. (United States)


Published in SPIE Proceedings Vol. 3372:
Algorithms for Multispectral and Hyperspectral Imagery IV
Sylvia S. Shen; Michael R. Descour, Editor(s)

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