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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Main Authors: Jun Shi, Yihang Zhou, Zhikun Xie, Xiaqing Yang, Wenxuan Guo, Fuwei Wu, Chengyuan Li, Xiaoling Zhang
Format: Article
Language:English
Published: Elsevier 2023-04-01
Series:International Journal of Applied Earth Observations and Geoinformation
Subjects:
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.
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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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