Articles | Volume 18, issue 18
https://doi.org/10.5194/amt-18-4839-2025
https://doi.org/10.5194/amt-18-4839-2025
Research article
 | 
26 Sep 2025
Research article |  | 26 Sep 2025

A hybrid algorithm for ship clutter identification in pulse compression polarimetric radar observations

Shuai Zhang, Haoran Li, Dmitri Moisseev, and Matti Leskinen

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Cited articles

Argenti, F. and Facheris, L.: Radar pulse compression methods based on nonlinear and quadratic optimization, IEEE T. Geosci. Remote, 59, 3904–3916, https://doi.org/10.1109/TGRS.2020.3010414, 2020. 
Bharadwaj, N. and Chandrasekar, V.: Wideband waveform design principles for solid-state weather radars, J. Atmos. Ocean. Tech., 29, 14–31, https://doi.org/10.1175/JTECH-D-11-00030.1, 2012. 
Billingsley, J. B.: Low-angle radar land clutter: Measurements and empirical models, IET, ISBN 9780852962305, 2002. 
Breiman, L.: Random forests, Mach. Learn., 45, 5–32, https://doi.org/10.1023/A:1010933404324, 2001. 
Chen, Y., Zheng, H., Sun, T., Meng, D., Qin, L., and Yin, J.: Improving forecasts of the “21  7” Henan extreme rainfall event using a radar assimilation scheme that considers hydrometeor background error covariance, Mon. Weather Rev., 152, 1379–1397, https://doi.org/10.1175/MWR-D-23-0190.1, 2024. 
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Short summary
The data quality of weather radar near coastlines can be affected by echoes from ships, and this interference is exacerbated when pulse compression technology is used. This study developed a hybrid ship clutter identification algorithm based on artificial intelligence and heuristic criteria, effectively mitigating the issue. The successful reproduction of ship tracks in the Gulf of Finland supports this conclusion.
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