Improved multilevel filters to enhance infrared small target

被引:3
作者
Wang, Xiaoping [1 ]
Zhang, Tianxu [1 ]
Yan, Luxin [1 ]
Wang, Man [1 ]
Wu, Jiawei [2 ]
机构
[1] Huazhong Univ Sci & Technol, Inst Pattern Recognit & Artificial Intelligence, Wuhan 430074, Peoples R China
[2] Beihang Univ, Sch Elect Informat Engn, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
SURFACE SMALL TARGETS;
D O I
10.3788/COL201109.051001
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
We propose improved multilevel filters (IMLFs) involving the absolute value operation into the algorithmic framework of traditional multilevel filters (MLFs) to improve the robustness of infrared small target enhancement techniques under a complex infrared cluttered background. Compared with the widely used small target enhancement methods which only deal with bright targets, the proposed technique can enhance the infrared small target, whether it is bright or dark. Experimental results verify that the proposed technique is efficient and practical.
引用
收藏
页数:3
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