OPT OpenIR  > 光谱成像技术实验室
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
ISSN1751-9659
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.

 

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
DOI10.1049/iet-ipr.2017.0353
收录类别SCI
语种英语
WOS记录号WOS:000419403600008
引用统计
被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/30807
专题光谱成像技术实验室
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开放获取CC BY-NC-SA浏览 请求全文
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Guo, Jun]的文章
[Wu, Yiquan]的文章
[Dai, Yimian]的文章
百度学术
百度学术中相似的文章
[Guo, Jun]的文章
[Wu, Yiquan]的文章
[Dai, Yimian]的文章
必应学术
必应学术中相似的文章
[Guo, Jun]的文章
[Wu, Yiquan]的文章
[Dai, Yimian]的文章
相关权益政策
暂无数据
收藏/分享
文件名: Small target detection based on reweighted infrared patch-image model
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 

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。