Adaptive Morphological Method for Clutter Elimination to Enhance and Detect Infrared Small Target

被引:0
|
作者
Bai, Xiangzhi [1 ]
Zhou, Fugen [1 ]
Xie, Yongchun [2 ]
Jin, Ting [1 ]
机构
[1] Beihang Univ, Image Proc Ctr, Beijing 100083, Peoples R China
[2] Beijing Inst Control Engn, Beijing 100080, Peoples R China
关键词
top-hat transformation; target enhancement; clutter elimination; false alarm reduction; target detection;
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
To overcome the affection of heavy clutter and dim target intensity on small tat-get detection, an efficient morphological method through clutter elimination is proposed The proposed adaptive method imports the property of the target region into the morphological operations, which apparently improves the performance of the method and can largely enhance the dim small target. So, the target can be easily detected through a target defection algorithm, which is proposed based on the adaptive morphological method for clutter elimination. Experiments show that the proposed method can accurately eliminate the clutter efficiently background, and thus largely enhance and of detect the small target.
引用
收藏
页码:47 / +
页数:2
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