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River detection from SAR images

机译:从SAR图像侦查

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摘要

River detection from SAR images plays an important role in civilian applications. A new method for river detection is proposed in this paper, which includes fuzzy clustering, wavelet transform and using snake model. River area can be extracted by clustering and morphological processing. Then the edge of river is extracted with the wavelet modulus maximum method (WTMM), and is smoothed by the snake model. A Radarsat-1 image is used for the experiment. The experimental result shows that the method proposed in this paper is efficient for river detection and edge location.
机译:SAR图像中的河流检测在平民应用中起着重要作用。本文提出了一种新的河流检测方法,包括模糊聚类,小波变换和使用蛇模型。河区可以通过聚类和形态加工提取。然后用小波模量(WTMM)提取河的边缘,并由蛇模型平滑。 RADARSAT-1图像用于实验。实验结果表明,本文提出的方法对于河流检测和边缘位置有效。

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