Anomaly detection from hyperspectral imagery

被引：555
|
作者：
Stein, DWJ [1 ]
Beaven, SG
Hoff, LE
Winter, EM
Schaum, AP
Stocker, AD
机构：
[1] SPAWAR Syst Ctr, San Diego, CA USA
[2] Naval Res Lab, Washington, DC USA
[3] Space Comp Corp, Los Angeles, CA USA
来源：
IEEE SIGNAL PROCESSING MAGAZINE | 2002年 / 19卷 / 01期
关键词：
D O I：
10.1109/79.974730
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Anomaly detectors for hyperspectral data were developed based on fundamental detection theoretic principles, including the generalized likelihood ratio test (GLRT) and approximations thereof. As such, the underlying theory for the application of anomaly detection to systems with inherently high dimensionality was outlined. It was shown that the performance improves with SNR depends on the characteristics of the targets, clutter, environment, and sensor.
引用
收藏
页码：58 / 69
页数：12
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