Paper Info
Title
Ground Moving Target Tracking and Refocusing Using Shadow in Video-SAR.
Abstract
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.
Year
DOI
Venue
2020
10.3390/rs12183083
REMOTE SENSING
Keywords
DocType
Volume
synthetic aperture radar (SAR),ground moving target,refocusing,shadow tracking,video-SAR
Journal
12
Issue
Citations 
PageRank 
18
0
0.34
References 
Authors
0
7
Name
Order
Citations
PageRank
Xiaqing Yang104.73
Jun Shi22713.21
Yuanyuan Zhou305.07
Chen Wang432.75
Yao Hu54317.26
Zhang Xiaoling62815.30
Shunjun Wei7148.82