Infrared Small-Target Detection Using Multiscale Gray Difference Weighted Image Entropy

被引：181
|
作者：
Deng, He [1 ,2 ]
Sun, Xianping [1 ]
Liu, Maili [1 ]
Ye, Chaohui [1 ]
Zhou, Xin [1 ]
机构：
[1] Chinese Acad Sci, Wuhan Inst Phys & Math, Natl Ctr Magnet Resonance Wuhan, State Key Lab Magnet Resonance & Atom & Mol Phys, 30 West Xiaohongshan, Wuhan 430071, Peoples R China
[2] Cent China Normal Univ, Dept Informat Technol, 152 Luoyu Rd, Wuhan 430079, Peoples R China
来源：
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2016年 / 52卷 / 01期
基金：
中国博士后科学基金;
关键词：
INFORMATION ENTROPY; DIM TARGETS; DOMAIN; SCENE;
D O I：
10.1109/TAES.2015.140878
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
We propose an effective small-target detection approach based on weighted image entropy. The approach weights the local entropy measure by the multiscale grayscale difference followed by an adaptive threshold operation, which aims to improve the signal-to-noise ratio for cases in which jamming objects in the scene have similar thermal intensity measure with respect to the background as small target. The detection capability of the proposed approach has been validated on six real sequences, and the results demonstrate its significance and improvement.
引用
收藏
页码：60 / 72
页数：13
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