Comparison Between Back Projection Algorithm and Range Migration Algorithm in Terahertz Imaging
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...
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doaj-49087632515d4c0cb2871afc69aae0192021-03-30T01:17:31ZengIEEEIEEE Access2169-35362020-01-018187721877710.1109/ACCESS.2020.29680858963934Comparison Between Back Projection Algorithm and Range Migration Algorithm in Terahertz ImagingGuanwen Wang0https://orcid.org/0000-0001-7026-5854Feng Qi1Zhi Liu2Cuiling Liu3Chungui Xing4Wei Ning5https://orcid.org/0000-0002-9833-7132College of Electronic Information Engineering, Shenyang Aerospace University, Shenyang, ChinaCollege of Electronic Information Engineering, Shenyang Aerospace University, Shenyang, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang, ChinaBeijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing, ChinaCollege of Electronic Science and Engineering, Jilin University, Changchun, ChinaCollege of Information Science and Engineering, Northeastern University, Shenyang, ChinaBack 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.https://ieeexplore.ieee.org/document/8963934/Ambient environment sensingTHz imagingimage reconstruction |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Guanwen Wang Feng Qi Zhi Liu Cuiling Liu Chungui Xing Wei Ning |
spellingShingle |
Guanwen Wang Feng Qi Zhi Liu Cuiling Liu Chungui Xing Wei Ning Comparison Between Back Projection Algorithm and Range Migration Algorithm in Terahertz Imaging IEEE Access Ambient environment sensing THz imaging image reconstruction |
author_facet |
Guanwen Wang Feng Qi Zhi Liu Cuiling Liu Chungui Xing Wei Ning |
author_sort |
Guanwen Wang |
title |
Comparison Between Back Projection Algorithm and Range Migration Algorithm in Terahertz Imaging |
title_short |
Comparison Between Back Projection Algorithm and Range Migration Algorithm in Terahertz Imaging |
title_full |
Comparison Between Back Projection Algorithm and Range Migration Algorithm in Terahertz Imaging |
title_fullStr |
Comparison Between Back Projection Algorithm and Range Migration Algorithm in Terahertz Imaging |
title_full_unstemmed |
Comparison Between Back Projection Algorithm and Range Migration Algorithm in Terahertz Imaging |
title_sort |
comparison between back projection algorithm and range migration algorithm in terahertz imaging |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
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. |
topic |
Ambient environment sensing THz imaging image reconstruction |
url |
https://ieeexplore.ieee.org/document/8963934/ |
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