Maritime radar target detection based on multiframe object association

Yaowu Su; Yafang Lv; Hongbing Zheng; Jie Ma

doi:10.1117/12.3031593

18 July 2024 Maritime radar target detection based on multiframe object association

Yaowu Su, Yafang Lv, Hongbing Zheng, Jie Ma

Proceedings Volume 13179, International Conference on Optics and Machine Vision (ICOMV 2024); 1317911 (2024) https://doi.org/10.1117/12.3031593
Event: International Conference on Optics and Machine Vision (ICOMV 2024), 2024, Nanchang, China

Abstract

Accurate detection of water surface targets using radar is of great significance for ensuring water traffic safety. Traditional detection methods are often limited by complex and changing water environments and clutter interference, resulting in missed and false detections of targets. To address this problem, a multi-frame radar target detection method based on target association is proposed. First, the noise in the radar images is removed using preprocessing techniques. Then, a constant false alarm rate (CFAR) method is used for single-frame detection, resulting in candidate targets. Next, taking into account the randomness of clutter, a sliding window approach is used to perform target association within each window. By utilizing the association of the targets, strong targets, potential targets, and clutter are identified from the candidate target set. For the potential targets, their signal is enhanced by accumulating multiple frames. Ultimately, it achieves precise detection of radar targets. In real ship detection experiments, the proposed detector has demonstrated superior performance compared to traditional radar detectors and visual detectors.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yaowu Su, Yafang Lv, Hongbing Zheng, and Jie Ma "Maritime radar target detection based on multiframe object association", Proc. SPIE 13179, International Conference on Optics and Machine Vision (ICOMV 2024), 1317911 (18 July 2024); https://doi.org/10.1117/12.3031593

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