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A Lightweight Network Based on One-Level Feature for Ship Detection in SAR Images
2022
Remote Sensing
Recently, deep learning has greatly promoted the development of detection methods for ship targets in synthetic aperture radar (SAR) images. However, existing detection networks are mostly based on large-scale models and high-cost computations, which require high-performance computing equipment to realize real-time processing and limit their hardware transplantation to onboard platforms. To address this problem, a lightweight ship detection network via YOLOX-s is proposed in this paper.
doi:10.3390/rs14143321
fatcat:zp7spx6fb5d7xm57456tznsfwy