NSSC OpenIR  > 空间技术部
Alternative TitleMoving target compressive imaging based on improved row scanning measurement matrices
王盼盼; 姚旭日; 刘雪峰; 俞文凯; 邱棚; 翟光杰
Source Publication物理学报
Keyword压缩感知 运动目标成像 行扫描 测量矩阵
Other AbstractMoving target imaging (MTI) plays an important role in practical applications. How to capture dynamic images of the targets with high qualities has become a hot point of research in the field of MTI. In order to improve the reconstruction quality, a new MTI model based on compressed sensing (CS) is proposed here, by using a sampling protocol of the row-scanning together with a motion measurement matrix constructed by us. It is proved by the simulation and the experimental results that a relatively high quality can be achieved through this approach. Furthermore, an evaluation criterion of reconstructed image is introduced to analyze the relationship between the imaging quality and the moving speed of the target. By contrast, the performance of our algorithm is much better than that of traditional CS algorithm under the same moving speed condition. As a result, it is suggested that our imaging method may have a great application prospect in the earth observation of unmanned aerial vehicles, video monitoring in the product line and other fields. © 2017 Chinese Physical Society.
Indexed BySCI ; EI ; CSCD
Citation statistics
Document Type期刊论文
Corresponding Author翟光杰
Recommended Citation
GB/T 7714
王盼盼,姚旭日,刘雪峰,等. 基于行扫描测量的运动目标压缩成像[J]. 物理学报,2017,66(1).
APA 王盼盼,姚旭日,刘雪峰,俞文凯,邱棚,&翟光杰.(2017).基于行扫描测量的运动目标压缩成像.物理学报,66(1).
MLA 王盼盼,et al."基于行扫描测量的运动目标压缩成像".物理学报 66.1(2017).
Files in This Item: Download All
File Name/Size DocType Version Access License
2017661014201.pdf(777KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[王盼盼]'s Articles
[姚旭日]'s Articles
[刘雪峰]'s Articles
Baidu academic
Similar articles in Baidu academic
[王盼盼]'s Articles
[姚旭日]'s Articles
[刘雪峰]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[王盼盼]'s Articles
[姚旭日]'s Articles
[刘雪峰]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 2017661014201.pdf
Format: Adobe PDF
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.