Small target detection based on reweighted infrared patch-image model | |
Guo, Jun1; Wu, Yiquan1,2,3; Dai, Yimian1 | |
刊名 | IET IMAGE PROCESSING |
2018-01 | |
卷号 | 12期号:1页码:70-79 |
关键词 | Object Detection Infrared Imaging Principal Component Analysis Small Target Detection Reweighted Infrared Patch-image Model Infrared Small Target Detection Sparse Background Edges Background Estimation Reweighted Nuclear Norm Nontarget Sparse Points Reweighted Robust Principal Component Analysis Problem Inexact Augmented Lagrangian Multiplier Method Background Clutter Suppression Reweighted l(1) Norm |
ISSN号 | 1751-9659 |
DOI | 10.1049/iet-ipr.2017.0353 |
产权排序 | 2 |
英文摘要 | To further improve the effect of infrared small target detection, a reweighted infrared patch-image model is proposed. First, the authors point out that the nuclear norm in the infrared patch-image model could easily leave some sparse background edges in the target patch-image, leading to an inaccurate background estimation. Then, to overcome this defect, the reweighted nuclear norm is adopted to constrain the background patch-image, which could preserve the background edges better. Considering that some non-target sparse points could not be suppressed by only using l(1) norm, the authors introduce the reweighted l(1) norm to further enhance the sparsity of target image. Finally, the proposed model is formulated as a reweighted robust principal component analysis problem and solved by the inexact augmented Lagrangian multiplier method. Extensive experiments show that the proposed model outperforms the other six competitive methods in suppressing background clutter and detecting target.
|
语种 | 英语 |
WOS记录号 | WOS:000419403600008 |
内容类型 | 期刊论文 |
源URL | [http://ir.opt.ac.cn/handle/181661/30807] |
专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
作者单位 | 1.Nanjing Univ Aeronaut & Astronaut, Coll Elect & Informat Engn, Nanjing, Jiangsu, Peoples R China 2.Chinese Acad Sci, Key Lab Spectral Imaging Technol, Xian Inst Opt & Precis Mech, Xian, Shaanxi, Peoples R Chin 3.Southwest Petr Univ, State Key Lab Oil & Gas Reservoir Geol & Exploita, Chengdu, Sichuan, Peoples R China; |
推荐引用方式 GB/T 7714 | Guo, Jun,Wu, Yiquan,Dai, Yimian. Small target detection based on reweighted infrared patch-image model[J]. IET IMAGE PROCESSING,2018,12(1):70-79. |
APA | Guo, Jun,Wu, Yiquan,&Dai, Yimian.(2018).Small target detection based on reweighted infrared patch-image model.IET IMAGE PROCESSING,12(1),70-79. |
MLA | Guo, Jun,et al."Small target detection based on reweighted infrared patch-image model".IET IMAGE PROCESSING 12.1(2018):70-79. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论