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An Optical-to-SAR Transformation Method for SAR Ship Image Augmentation

机译:SAR舰船图像增强的光SAR转换方法

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摘要

For ship detection in remote sensing, the labeled synthetic aperture radar (SAR) ship images are far less than optical ship images, which limited the development of SAR ship detection and classification. In this paper, an optical-to-SAR transformation method is proposed to transforming the well labeled optical ship images to SAR ship images. Based on electromagnetic theory, the backscattering and reflection mechanism is analyzed and modeled into the transformation. A background iteration method based on probability theory is also proposed to learn the distribution of SAR ship images. The result shows that the proposed method can transform the optical ship images to SAR ship images with the confidence coefficient of 84.643%.
机译:对于遥感船探测,标记的合成孔径雷达(SAR)船图像远小于光学船图像,这限制了SAR船探测和分类的发展。本文提出了一种光学到SAR的转换方法,将标记良好的光学舰船图像转换为SAR舰船图像。基于电磁理论,分析了反向散射和反射机理,并将其建模为变换。提出了一种基于概率论的背景迭代方法来学习SAR舰船图像的分布。结果表明,该方法可以将光学舰船图像转换为SAR舰船图像,置信系数为84.643%。

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