Detection of small infrared targets based on multi-feature fusion

被引：0

作者：

Lou, Yue ^{[1
,2
]}

Wang, Zhi-Cheng ^{[3
]}

Li, Xin ^{[2
]}

机构：

[1] Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710068, China

[2] Systems Engineering Research Institute, China State Shipbuilding Corporation, Beijing 100036, China

[3] Key Laboratory of State Education Commission for Image Processing and Intelligent Control, Huazhong University of Science and Technology, Wuhan 430074, China

来源：

Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering | 2007年 / 36卷 / 03期

关键词：

Feature extraction - Image fusion - Infrared imaging;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

A novel method for small weak target detection based on multi -feature distance map (MFDM) in image sequences is proposed. Small weak targets have many features like local entropy, average gradient strength etc. These features not only describe the characteristics of small infrared targets, but also are easy to be extracted. Multi-feature-based fusion techniques are applied to detect weak targets by converting the problem of detecting small targets to the search for peak values in specified feature space where multi -feature vectors space (MFVS) is considered. Target detection is performed in DM which can be derived according to feature vectors. The targets are detected in complex backgrounds via binarizing a DM image constructed by multi -feature fusion. The proposed approach is validated using actual infrared image sequences with sea-sky backgrounds. Experimental results demonstrate the robustness and high performance of the proposed method.

引用

页码：395 / 397