Sea-surface slow small target detection based on RESS feature

Ching-Ling Xue; Fei Cao; Qing Sun; Ze-Jun Gao

doi:10.1117/12.2636799

29 April 2022 Sea-surface slow small target detection based on RESS feature

Ching-Ling Xue, Fei Cao, Qing Sun, Ze-Jun Gao

Proceedings Volume 12247, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022); 122470X (2022) https://doi.org/10.1117/12.2636799
Event: 2022 International Conference on Image, Signal Processing, and Pattern Recognition, 2022, Guilin, China

Abstract

Under irradiating of the high-resolution radar at a low grazing angle, the detection of slow small targets is susceptible to sea clutter, and it can reduce the detection performance of marine radar. According to the fluctuation characteristics of radar echo signals, a novel target detection method based on the relative echo signal sharpness (RESS) is put forward. Firstly, the feature points of the radar echo signals were extracted by the local extremum method, and a sparse matrix was constructed by feature points and its corresponding pulse. Secondly, the ratio of Manhattan distances of adjacent points in the matrix was calculated. Finally, the RESS was obtained by referring to the reference bins, and the target detection was carried out by the cell-averaging constant false alarm rate (CA-CFAR) detector. The experimental results showed that the RESS of target bin is higher than that of sea clutter bin. Furthermore, compared with the traditional method, the proposed method improved the detection performance of sea-surface slow small target.

Citation Download Citation

Ching-Ling Xue, Fei Cao, Qing Sun, and Ze-Jun Gao "Sea-surface slow small target detection based on RESS feature", Proc. SPIE 12247, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022), 122470X (29 April 2022); https://doi.org/10.1117/12.2636799

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