论文标题
在SAR Images中的离岸和近海船舶检测的平衡场景学习机制
Balance Scene Learning Mechanism for Offshore and Inshore Ship Detection in SAR Images
论文作者
论文摘要
不同场景的样本数量的巨大失衡会严重降低合成孔径雷达（SAR）船舶检测准确性。因此，为了解决这个问题，这封信提出了一种平衡场景学习机制（BSLM），用于在SAR图像中用于海上和近海船舶检测。
Huge imbalance of different scenes' sample numbers seriously reduces Synthetic Aperture Radar (SAR) ship detection accuracy. Thus, to solve this problem, this letter proposes a Balance Scene Learning Mechanism (BSLM) for offshore and inshore ship detection in SAR images.
