Squeezed signature analysis hyperspectral classification

被引：0
作者：
Morgan, SO [1 ]
Gomez, RB [1 ]
Roper, WE [1 ]
机构：
[1] George Mason Univ, Fairfax, VA 22030 USA
来源：
GEO-SPATIAL AND TEMPORAL IMAGE AND DATA EXPLOITATION III | 2003年 / 5097卷
关键词：
classification; hyperspectral; spectral library; on-board processing; real-time processing; remote sensing;
D O I：
10.1117/12.502414
中图分类号：
TH7 [仪器、仪表];
学科分类号：
0804 ; 080401 ; 081102 ;
摘要：
The Squeezed Signature Analysis (SSA) hyperspectral classification method is presented as a fast method to compare the target spectral signature to all the signatures in the spectral library. This discussion includes the possible use of this technique on-board a hypothetical remote sensing system that could take advantage of parallel computations.
引用
收藏
页码：158 / 166
页数：9
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