Small target detection based on reweighted infrared patch-image model | |
Guo, Jun1; Wu, Yiquan1,2,3; Dai, Yimian1 | |
作者部门 | 光谱成像技术实验室 |
2018-01 | |
发表期刊 | IET IMAGE PROCESSING |
ISSN | 1751-9659 |
卷号 | 12期号:1页码:70-79 |
产权排序 | 2 |
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.
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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 |
DOI | 10.1049/iet-ipr.2017.0353 |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000419403600008 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/30807 |
专题 | 光谱成像技术研究室 |
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. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Small target detecti(6255KB) | 期刊论文 | 作者接受稿 | 限制开放 | CC BY-NC-SA | 请求全文 |
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