MobileNet-V3-based sea-land segmentation for maritime search radars

Jian Xue; Manshan Ma

doi:10.1117/12.3022966

28 March 2024 MobileNet-V3-based sea-land segmentation for maritime search radars

Jian Xue, Manshan Ma

Proceedings Volume 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023); 1309119 (2024) https://doi.org/10.1117/12.3022966
Event: Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 2023, Xi’an, China

Abstract

The effective perception of marine detection scenarios is essential for maritime search pulse radar to detect and track maritime targets. However, the dynamically changing and complex marine environment makes it challenging for maritime search pulse radar to accurately perceive the sea and land regions. To improve the accuracy of sea-land region perception, and reduce the computation and complexity of algorithm of the network, this paper proposes a MobileNet-V3-based maritime search pulse radar sea-land segmentation method. Firstly, a radar sea-land segmentation dataset based on PPI (Plan Position Indicator) is constructed using real measured data from different scenarios and sea conditions. Subsequently, the MobileNetV3 network is trained on this dataset to achieve sea-land segmentation for maritime search pulse radar. Experimental results demonstrate that the segmentation accuracy of the MobileNetV3-L-based radar sea-land segmentation method surpasses its competitors.

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

Citation Download Citation

Jian Xue and Manshan Ma "MobileNet-V3-based sea-land segmentation for maritime search radars", Proc. SPIE 13091, Fifteenth International Conference on Signal Processing Systems (ICSPS 2023), 1309119 (28 March 2024); https://doi.org/10.1117/12.3022966

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