Ground Moving Target Tracking and Refocusing Using Shadow in Video-SAR
Stable and efficient ground moving target tracking and refocusing is a hard task in synthetic aperture radar (SAR) data processing. Since shadows in video-SAR indicate the actual positions of moving targets at different moments without any displacement, shadow-based methods provide a new approach fo...
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2020-09-01
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doaj-3822ef7b238242e9921abf78dec134e72020-11-25T01:25:27ZengMDPI AGRemote Sensing2072-42922020-09-01123083308310.3390/rs12183083Ground Moving Target Tracking and Refocusing Using Shadow in Video-SARXiaqing Yang0Jun Shi1Yuanyuan Zhou2Chen Wang3Yao Hu4Xiaoling Zhang5Shunjun Wei6School 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, 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, 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, ChinaSchool of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaStable and efficient ground moving target tracking and refocusing is a hard task in synthetic aperture radar (SAR) data processing. Since shadows in video-SAR indicate the actual positions of moving targets at different moments without any displacement, shadow-based methods provide a new approach for ground moving target processing. This paper constructs a novel framework to refocus ground moving targets by using shadows in video-SAR. To this end, an automatic-registered SAR video is first obtained using the video-SAR back-projection (v-BP) algorithm. The shadows of multiple moving targets are then tracked using a learning-based tracker, and the moving targets are ultimately refocused via a proposed moving target back-projection (m-BP) algorithm. With this framework, we can perform detecting, tracking, imaging for multiple moving targets integratedly, which significantly improves the ability of moving-target surveillance for SAR systems. Furthermore, a detailed explanation of the shadow of a moving target is presented herein. We find that the shadow of ground moving targets is affected by a target’s size, radar pitch angle, carrier frequency, synthetic aperture time, etc. With an elaborate system design, we can obtain a clear shadow of moving targets even in X or C band. By numerical experiments, we find that a deep network, such as SiamFc, can easily track shadows and precisely estimate the trajectories that meet the accuracy requirement of the trajectories for m-BP.https://www.mdpi.com/2072-4292/12/18/3083synthetic aperture radar (SAR)ground moving targetrefocusingshadow trackingvideo-SAR |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xiaqing Yang Jun Shi Yuanyuan Zhou Chen Wang Yao Hu Xiaoling Zhang Shunjun Wei |
spellingShingle |
Xiaqing Yang Jun Shi Yuanyuan Zhou Chen Wang Yao Hu Xiaoling Zhang Shunjun Wei Ground Moving Target Tracking and Refocusing Using Shadow in Video-SAR Remote Sensing synthetic aperture radar (SAR) ground moving target refocusing shadow tracking video-SAR |
author_facet |
Xiaqing Yang Jun Shi Yuanyuan Zhou Chen Wang Yao Hu Xiaoling Zhang Shunjun Wei |
author_sort |
Xiaqing Yang |
title |
Ground Moving Target Tracking and Refocusing Using Shadow in Video-SAR |
title_short |
Ground Moving Target Tracking and Refocusing Using Shadow in Video-SAR |
title_full |
Ground Moving Target Tracking and Refocusing Using Shadow in Video-SAR |
title_fullStr |
Ground Moving Target Tracking and Refocusing Using Shadow in Video-SAR |
title_full_unstemmed |
Ground Moving Target Tracking and Refocusing Using Shadow in Video-SAR |
title_sort |
ground moving target tracking and refocusing using shadow in video-sar |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2020-09-01 |
description |
Stable and efficient ground moving target tracking and refocusing is a hard task in synthetic aperture radar (SAR) data processing. Since shadows in video-SAR indicate the actual positions of moving targets at different moments without any displacement, shadow-based methods provide a new approach for ground moving target processing. This paper constructs a novel framework to refocus ground moving targets by using shadows in video-SAR. To this end, an automatic-registered SAR video is first obtained using the video-SAR back-projection (v-BP) algorithm. The shadows of multiple moving targets are then tracked using a learning-based tracker, and the moving targets are ultimately refocused via a proposed moving target back-projection (m-BP) algorithm. With this framework, we can perform detecting, tracking, imaging for multiple moving targets integratedly, which significantly improves the ability of moving-target surveillance for SAR systems. Furthermore, a detailed explanation of the shadow of a moving target is presented herein. We find that the shadow of ground moving targets is affected by a target’s size, radar pitch angle, carrier frequency, synthetic aperture time, etc. With an elaborate system design, we can obtain a clear shadow of moving targets even in X or C band. By numerical experiments, we find that a deep network, such as SiamFc, can easily track shadows and precisely estimate the trajectories that meet the accuracy requirement of the trajectories for m-BP. |
topic |
synthetic aperture radar (SAR) ground moving target refocusing shadow tracking video-SAR |
url |
https://www.mdpi.com/2072-4292/12/18/3083 |
work_keys_str_mv |
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