Based on the Clustering of the Background for Hyperspectral Imaging Anomaly Detection

被引：0
|
作者：
Li Xiaohui [1 ]
Zhao Chunhui [1 ]
机构：
[1] Harbin Engn Univ, Coll Informat & Commun Engn, Harbin, Peoples R China
来源：
2011 INTERNATIONAL CONFERENCE ON ELECTRONICS, COMMUNICATIONS AND CONTROL (ICECC) | 2011年
关键词：
hyperspectral image; anomaly target detection; EM algorithm; RX algorithm; smooth background;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
RX algorithm is the most classical algorithm in hyperspectral image anomaly detection algorithm, but the detection effect down significantly in a complicated and nonhomogeneous background. This paper use EM algorithm to smooth background by clustering the adjacent area of the pixel under test (PUT); in the process of detection, using the average of clustering replace the original background, in order to reduce the influence of the background complexity on the detection algorithm. With AVIRIS hyperspectral data, the simulation experiment has good detection effect.
引用
收藏
页码：1345 / 1348
页数：4
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