Comparison between Back Projection Algorithm and Range Migration Algorithm in Terahertz Imaging
Wang, Guanwen2; Qi F(祁峰)2,3,4,5,6; Liu, Zhi7; Liu, Cuiling8; Xing CG(邢春贵)1; Ning, Wei7
刊名IEEE Access
2020
卷号8页码:18772-18777
关键词Ambient environment sensing THz imaging image reconstruction
ISSN号2169-3536
产权排序2
英文摘要

Back projection algorithm (BPA) and range migration algorithm (RMA) are two common approaches for image reconstruction in synthetic aperture radar (SAR) imaging. Imaging is implemented in spatial domain and spatial frequency domain, respectively and these two methods are often considered to generate the same results. This is true in normal microwave/millimeter wave SAR imaging systems, since the object of interests is located far away and the applied wavelength is long. In this case, the location of the object is the most important issue and there is no impetus to image the object with very fine details. In case of terahertz (THz) imaging, we have found some differences by using the two algorithms above, including the position of the object and resolution in 2D and 3D imaging. Some insights are given and we believe there should be some guidelines regarding the pros and cons before choosing the exact algorithm, especially when high-performance imaging is pursued.

资助项目Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University Inspection of Illegal Cooking-Oil by Using THz Imaging and Spectroscopy Technologies ; Beijing Natural Science Foundation of China[4182017] ; National Key Research and Development Program of China[2016YFC0102900] ; National Natural Science Foundation of China[61605235] ; National Natural Science Foundation of China[61801467] ; National Natural Science Foundation of China[61804160]
WOS关键词RADAR
WOS研究方向Computer Science ; Engineering ; Telecommunications
语种英语
WOS记录号WOS:000525387500001
资助机构Beijing Key Laboratory of Big Data Technology for Food Safety ; Beijing Technology and Business University Inspection of Illegal Cooking-Oil by Using THz Imaging and Spectroscopy Technologies ; Beijing Natural Science Foundation of China under Grant 4182017 ; National Key Research and Development Program of China under Grant 2016YFC0102900 ; National Natural Science Foundation of China under Grant 61605235, Grant 61801467, and Grant 61804160
内容类型期刊论文
源URL[http://ir.sia.cn/handle/173321/26360]  
专题沈阳自动化研究所_光电信息技术研究室
通讯作者Qi F(祁峰); Liu, Cuiling
作者单位1.College of Electronic Science and Engineering, Jilin University, Changchun 130012, China
2.College of Electronic Information Engineering, Shenyang Aerospace University, Shenyang, China
3.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
4.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China
5.Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang 110016, China
6.Key Lab of Image Understanding and Computer Vision, Shenyang 110016, China
7.College of Information Science and Engineering, Northeastern University, Shenyang 110169, China
8.Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing 100048, China
推荐引用方式
GB/T 7714
Wang, Guanwen,Qi F,Liu, Zhi,et al. Comparison between Back Projection Algorithm and Range Migration Algorithm in Terahertz Imaging[J]. IEEE Access,2020,8:18772-18777.
APA Wang, Guanwen,Qi F,Liu, Zhi,Liu, Cuiling,Xing CG,&Ning, Wei.(2020).Comparison between Back Projection Algorithm and Range Migration Algorithm in Terahertz Imaging.IEEE Access,8,18772-18777.
MLA Wang, Guanwen,et al."Comparison between Back Projection Algorithm and Range Migration Algorithm in Terahertz Imaging".IEEE Access 8(2020):18772-18777.
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