An improved filter for point target detection in multi-dimensional imagery

被引：8

作者：

Raviv, O ^{[1
]}

Rotman, SR ^{[1
]}

机构：

[1] Ben Gurion Univ Negev, Dept Elect & Comp Engn, IL-84105 Beer Sheva, Israel

来源：

IMAGING SPECTROMETRY IX | 2003年 / 5159卷

关键词：

hyperspectral imagery; point target detection;

D O I：

10.1117/12.505935

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

We consider a method to improve the standard RX algorithm for point target detection. In this algorithm, we weight the results from an anti-mean or anti-median filter by dividing by the standard deviation of the local environment of each suspect pixel. In this way, we lower the false alarms caused by edge points. The results of each band are then combined. Results will be shown for visible and SWIR hyperspectral imagery.

引用

页码：32 / 40

页数：9

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