MrisNet: Robust Ship Instance Segmentation in Challenging Marine Radar Environments
Feng Ma,
Zhe Kang,
Chen Chen
et al.
Abstract:In high-traffic harbor waters, marine radar frequently encounters signal interference stemming from various obstructive elements, thereby presenting formidable obstacles in the precise identification of ships. To achieve precise pixel-level ship identification in the complex environments, a customized neural network-based ship segmentation algorithm named MrisNet is proposed. MrisNet employs a lightweight and efficient FasterYOLO network to extract features from radar images at different levels, capturing fine… Show more
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