17 January 2002 Hyperspectral sensor test bed for real-time algorithm evaluation
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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.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James C. Jafolla, James C. Jafolla, Mark S. Dombrowski, Mark S. Dombrowski, } "Hyperspectral sensor test bed for real-time algorithm evaluation", Proc. SPIE 4480, Imaging Spectrometry VII, (17 January 2002); doi: 10.1117/12.453358; https://doi.org/10.1117/12.453358


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