Hyperspectral sensor testbed for real-time algorithm evaluation

被引：0
|
作者：
Jafolla, J [1 ]
Dombrowski, M [1 ]
机构：
[1] Surface Opt Corp, San Diego, CA 92127 USA
来源：
IMAGING SPECTROMETRY VII | 2001年 / 4480卷
关键词：
D O I：
暂无
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
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 afield test in the Anza-Borrego desert.
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收藏
页码：345 / 354
页数：10
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