April 30, 2024, 4:47 a.m. | Yanbing Bai, Rui-Yang Ju, Siao Li, Zihao Yang, Jinze Yu

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.18245v1 Announce Type: new
Abstract: Illegal, unreported, and unregulated (IUU) fishing seriously affects various aspects of human life. However, current methods for detecting and monitoring IUU activities at sea have limitations. While Synthetic Aperture Radar (SAR) can complement existing vessel detection systems, extracting useful information from SAR images using traditional methods, especially for IUU fishing identification, poses challenges. This paper proposes a deep learning-based system for detecting fishing activities. We implemented this system on the xView3 dataset using six classical …

abstract arxiv cs.cv current deep learning detection fishing however human images life limitations monitoring novel radar synthetic synthetic aperture radar systems type via while

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