A Least Trimmed Square Method for Clutter Removal in Infrared Small Target Detection

被引：0
|
作者：
Bai, Kun [1 ]
Wang, Yuehuan [1 ]
机构：
[1] Natl Key Lab Multispectral Informat Proc Technol, Wuhan 430074, Peoples R China
来源：
MIPPR 2013: AUTOMATIC TARGET RECOGNITION AND NAVIGATION | 2013年 / 8918卷
关键词：
small target detection; least trimmed square; clutter removal; REGRESSION; FILTER;
D O I：
10.1117/12.2031405
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
In this paper, a new procedure based on least trimmed square for clutter background estimation is proposed. Least trimmed square method identifies multiple outliers in the image, such as noise and target region. Then the clutter background is estimated without these outliers. The performance of this method is compared with the algorithms based on least mean square method, the results show that our method gets higher signal clutter ratio (SCR) gain in target region than other methods which use LMS filter.
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页数：6
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