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Edge Enhancement Algorithm Based on the Wavelet Transform for Automatic Edge Detection in SAR Images

机译:基于小波变换的SAR图像自动边缘增强算法。

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摘要

This paper presents a novel technique for automatic edge enhancement and detection in synthetic aperture radar (SAR) images. The characteristics of SAR images justify the importance of an edge enhancement step prior to edge detection. Therefore, this paper presents a robust and unsupervised edge enhancement algorithm based on a combination of wavelet coefficients at different scales. The performance of the method is first tested on simulated images. Then, in order to complete the automatic detection chain, among the different options for the decision stage, the use of geodesic active contour is proposed. The second part of this paper suggests the extraction of the coastline in SAR images as a particular case of edge detection. Hence, after highlighting its practical interest, the technique that is theoretically presented in the first part of this paper is applied to real scenarios. Finally, the chances of its operational capability are assessed.
机译:本文提出了一种用于合成孔径雷达(SAR)图像中自动边缘增强和检测的新技术。 SAR图像的特征证明了边缘检测之前边缘增强步骤的重要性。因此,本文提出了一种基于小尺度系数组合的鲁棒且无监督的边缘增强算法。首先在模拟图像上测试该方法的性能。然后,为了完成自动检测链,在决策阶段的不同选项中,提出了测地线活动轮廓的使用。本文的第二部分建议将SAR图像中的海岸线提取作为边缘检测的一种特殊情况。因此,在强调其实际兴趣之后,本文第一部分中理论上介绍的技术将应用于实际场景。最后,评估其运行能力的机会。

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