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.
Hyperspectral sensor testbed for real-time algorithm evaluation
2002-01-01
1103959 byte
Conference paper
Electronic Resource
English
Hyperspectral Sensor Testbed for Real-Time AlgoRochester Institute of Technologyhm Evaluation
British Library Conference Proceedings | 2002
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