A Robust Moving Target Shadow Detection and Tracking Method for VideoSAR

HE Zhihua; CHEN Xing; YU Chunrui; LI Zihan; YU Anxi; DONG Zhen

doi:10.11999/JEIT210853

Volume 44 Issue 11

Nov. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(11): 3882-3890

HE Zhihua, CHEN Xing, YU Chunrui, LI Zihan, YU Anxi, DONG Zhen. A Robust Moving Target Shadow Detection and Tracking Method for VideoSAR[J]. Journal of Electronics & Information Technology, 2022, 44(11): 3882-3890. doi: 10.11999/JEIT210853

Citation:

HE Zhihua, CHEN Xing, YU Chunrui, LI Zihan, YU Anxi, DONG Zhen. A Robust Moving Target Shadow Detection and Tracking Method for VideoSAR[J]. Journal of Electronics & Information Technology, 2022, 44(11): 3882-3890. doi: 10.11999/JEIT210853

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A Robust Moving Target Shadow Detection and Tracking Method for VideoSAR

doi: 10.11999/JEIT210853

1.
College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China
2.
Beijing Institute of Tracking and Telecommunication Technology, Beijing 100094, China

Funds: The National Natural Science Foundation of China (61401480, 61771478)

Received Date: 2021-08-18
Rev Recd Date: 2021-10-31

Available Online: 2021-11-14

Publish Date: 2022-11-14

Abstract

Abstract

Video Synthetic Aperture Radar (VideoSAR) can acquire high frame rate image sequence of observation scene. Moving target state can be detected by using the shadow formed by ground moving targets such as vehicles in the image sequence. This method has the advantages of high positioning accuracy, high detection probability and no minimum detectable speed limit. VideoSAR has the special image features,such as sharp change of moving target shadow, low signal-to-noise ratio and Doppler smear interference. Taking full advantage of the spatial and temporal information of frame images, three technologies including VideoSAR data preprocessing, moving target shadow detection and VideoSAR multi-target tracking method are studied. The effectiveness of the proposed method is verified by the real data whole processing results.
- Video Synthetic Aperture Radar (VideoSAR),
- Moving target shadow,
- Speckle suppression,
- Shadow detection,
- Multi-target tracking

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References(18)

References

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