期刊
INFRARED PHYSICS & TECHNOLOGY
卷 85, 期 -, 页码 13-31出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.infrared.2017.05.009
关键词
Infrared imaging; Small target detection; Sparse representation; Fractal surface; Irregular targets
资金
- National Natural Science Foundation of China [61675036]
- Chongqing Research Program of Basic Research and Frontier Technology [CSTC2016JCYJA0193]
- Chongqing Graduate Student Research Innovation [CYS14031]
- Chinese Academy of Sciences Key Laboratory of Beam Control Fund [2014LBC005]
- China Postdoctoral Science Foundation [2014M550455]
- Chongqing Postdoctoral Science Foundation [Xm2014089]
- Fundamental Research Fund for Central Universities [106112014CDJZR165502]
A novel infrared small target detection method based on sky clutter and target sparse representation is proposed in this paper to cope with the representing uncertainty of clutter and target. The sky scene background clutter is described by fractal random field, and it is perceived and eliminated via the sparse representation on fractal background over-complete dictionary (FBOD). The infrared small target signal is simulated by generalized Gaussian intensity model, and it is expressed by the generalized Gaussian target over-complete dictionary (GGTOD), which could describe small target more efficiently than traditional structured dictionaries. Infrared image is decomposed on the union of FBOD and GGTOD, and the sparse representation energy that target signal and background clutter decomposed on GGTOD differ so distinctly that it is adopted to distinguish target from clutter. Some experiments are induced and the experimental results show that the proposed approach could improve the small target detection performance especially under heavy clutter for background clutter could be efficiently perceived and suppressed by FBOD and the changing target could also be represented accurately by GGTOD. (C) 2017 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据