Joint autofocus and registration for video-SAR by using sub-aperture point cloud
Due to the existence of antenna phase center (APC) error, drift occurs on the sequence of images acquired by video-SAR back projection (BP) algorithm with respect to a fixed coordinate system. Theoretical analysis shows that the drift is directly related to APC errors. Thus, we propose a novel joint...
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Format: | Article |
Language: | English |
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Elsevier
2023-04-01
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Series: | International Journal of Applied Earth Observations and Geoinformation |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843223001176 |
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author | Jun Shi Yihang Zhou Zhikun Xie Xiaqing Yang Wenxuan Guo Fuwei Wu Chengyuan Li Xiaoling Zhang |
author_facet | Jun Shi Yihang Zhou Zhikun Xie Xiaqing Yang Wenxuan Guo Fuwei Wu Chengyuan Li Xiaoling Zhang |
author_sort | Jun Shi |
collection | DOAJ |
description | Due to the existence of antenna phase center (APC) error, drift occurs on the sequence of images acquired by video-SAR back projection (BP) algorithm with respect to a fixed coordinate system. Theoretical analysis shows that the drift is directly related to APC errors. Thus, we propose a novel joint autofocus and registration framework (JAR-PC) for video-SAR in this paper. By estimating the isometric transformation in the sub-aperture SAR image point cloud via the robust point matching network (RPM-Net), the low-order measurement error of the inertial navigation system (INS) is calibrated accurately. Applying the compensated APC trajectory to the BP algorithm, accurate registration and well-focused W-band video-SAR images are obtained. Experimental results show that JAR-PC can easily expand the aperture length from 3 s to 9 s without any visible defocusing, and coherently fuse multiple sub-aperture SAR images into a long-aperture SAR image. By combining the moving-target back projection (m-BP) algorithm with the shadow-tracking technique, JAR-PC can accurately project the SAR image to a geographical coordinate system with moving targets tracked, refocused and well-indicated. |
first_indexed | 2024-04-09T16:55:05Z |
format | Article |
id | doaj.art-b0bc5fce63a14a10b12e4e342bebadf7 |
institution | Directory Open Access Journal |
issn | 1569-8432 |
language | English |
last_indexed | 2024-04-09T16:55:05Z |
publishDate | 2023-04-01 |
publisher | Elsevier |
record_format | Article |
series | International Journal of Applied Earth Observations and Geoinformation |
spelling | doaj.art-b0bc5fce63a14a10b12e4e342bebadf72023-04-21T06:43:24ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322023-04-01118103295Joint autofocus and registration for video-SAR by using sub-aperture point cloudJun Shi0Yihang Zhou1Zhikun Xie2Xiaqing Yang3Wenxuan Guo4Fuwei Wu5Chengyuan Li6Xiaoling Zhang7School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China; Corresponding authors.School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China; Corresponding authors.School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaNanjing Research Institute of Electronics Technology, Nanjing 210039, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaDue to the existence of antenna phase center (APC) error, drift occurs on the sequence of images acquired by video-SAR back projection (BP) algorithm with respect to a fixed coordinate system. Theoretical analysis shows that the drift is directly related to APC errors. Thus, we propose a novel joint autofocus and registration framework (JAR-PC) for video-SAR in this paper. By estimating the isometric transformation in the sub-aperture SAR image point cloud via the robust point matching network (RPM-Net), the low-order measurement error of the inertial navigation system (INS) is calibrated accurately. Applying the compensated APC trajectory to the BP algorithm, accurate registration and well-focused W-band video-SAR images are obtained. Experimental results show that JAR-PC can easily expand the aperture length from 3 s to 9 s without any visible defocusing, and coherently fuse multiple sub-aperture SAR images into a long-aperture SAR image. By combining the moving-target back projection (m-BP) algorithm with the shadow-tracking technique, JAR-PC can accurately project the SAR image to a geographical coordinate system with moving targets tracked, refocused and well-indicated.http://www.sciencedirect.com/science/article/pii/S1569843223001176SAR autofocusINS autofocusINS calibrationPoint cloudRPM-NetW-band video-SAR |
spellingShingle | Jun Shi Yihang Zhou Zhikun Xie Xiaqing Yang Wenxuan Guo Fuwei Wu Chengyuan Li Xiaoling Zhang Joint autofocus and registration for video-SAR by using sub-aperture point cloud International Journal of Applied Earth Observations and Geoinformation SAR autofocus INS autofocus INS calibration Point cloud RPM-Net W-band video-SAR |
title | Joint autofocus and registration for video-SAR by using sub-aperture point cloud |
title_full | Joint autofocus and registration for video-SAR by using sub-aperture point cloud |
title_fullStr | Joint autofocus and registration for video-SAR by using sub-aperture point cloud |
title_full_unstemmed | Joint autofocus and registration for video-SAR by using sub-aperture point cloud |
title_short | Joint autofocus and registration for video-SAR by using sub-aperture point cloud |
title_sort | joint autofocus and registration for video sar by using sub aperture point cloud |
topic | SAR autofocus INS autofocus INS calibration Point cloud RPM-Net W-band video-SAR |
url | http://www.sciencedirect.com/science/article/pii/S1569843223001176 |
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