基于高分辨率SAR图像多方向信息的近岸船舶检测

2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR) Pub Date : 2019-11-01 DOI:10.1109/APSAR46974.2019.9048428

Xiyue Hou, Feng Xu

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引用次数: 2

摘要

提出了一种基于高分辨率合成孔径雷达(SAR)图像多方向信息的近岸船舶检测新算法。基于近岸船舶和港口区域的内外特征，分别考虑海岸线信息、上下文信息、散射机制、形状轮廓和深度特征信息等多方面信息来检测近岸船舶目标。实验结果表明，该算法对近海船舶感兴趣区域(ROI)具有较好的鲁棒性和准确性，检测率达到94.24%。实验结果表明，检测率为94.24%，具有良好的性能。结果表明，该方法简单、鲁棒性好，可以有效地确定近海船舶的感兴趣区域(ROI)。

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Inshore ship detection based on multi-aspect information in high-resolution SAR images

A novel algorithm for inshore ship detection based on multi-aspect information in high-resolution Synthetic Aperture Radar (SAR) images is proposed. Based on the internal and external characteristics of inshore ship and harbor regions, multi-aspect information, including coastline information, context information, scattering mechanism, shape contour and deep feature information, are considered respectively to detect inshore ship targets. The algorithm is verified to be robust and efficient to exact the Region-of-Interest (ROI) of inshore ship, and achieve a good performance with detection rate 94.24%. Experiments demonstrate good performance with detection rate 94.24%. The results show that the method is simple and robust, which can effectively determine the Region-of-Interest (ROI) of inshore ship.

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2019 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR)

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