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Proceedings Paper

Hyperspectral sensor test bed for real-time algorithm evaluation
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Paper Abstract

Hyperspectral imaging has proved to be a valuable tool for performing material based discrimination of targets in highly cluttered backgrounds. A next step for utilizing this technology is to integrate spectral and spatial discrimination algorithms for Autonomous Target Recognition (ATR) applications. This paper describes a hardware and software testbed system for performing spectral/spatial ATR and presents initial results from a field test in the Anza- Borrego desert.

Paper Details

Date Published: 17 January 2002
PDF: 10 pages
Proc. SPIE 4480, Imaging Spectrometry VII, (17 January 2002); doi: 10.1117/12.453358
Show Author Affiliations
James C. Jafolla, Surface Optics Corp. (United States)
Mark S. Dombrowski, Surface Optics Corp. (United States)

Published in SPIE Proceedings Vol. 4480:
Imaging Spectrometry VII
Michael R. Descour; Sylvia S. Shen, Editor(s)

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