Title :
Hyperspectral sensor testbed for real-time algorithm evaluation
Author :
Jafolla, James ; Dombrowski, Mark
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.
Keywords :
filtering theory; image recognition; sensors; software packages; spectral analysis; Anza-Borrego desert; PC software package; autonomous target recognition; cluttered background; field test; hardware testbed system; hyperspectral imaging; hyperspectral sensor testbed; real-time algorithm evaluation; software testbed system; spatial discrimination algorithm; spatial filtering algorithms; spectral discrimination algorithm; spectral/spatial ATR; Application software; Hardware; Hyperspectral imaging; Hyperspectral sensors; Performance evaluation; Software performance; Software systems; Software testing; System testing; Target recognition;
Conference_Titel :
Applied Imagery Pattern Recognition Workshop, 2002. Proceedings. 31st
Print_ISBN :
0-7695-1863-X
DOI :
10.1109/AIPR.2002.1182259
