基于SAR图像的河流检测

Wang Wenguang, Wang Jun, Zhao Hui, Yuan Yun-neng, Sun Jinping
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引用次数: 5

摘要

基于SAR图像的河流检测在民用领域有着重要的应用。本文提出了一种基于模糊聚类、小波变换和蛇形模型的河流检测新方法。通过聚类和形态学处理可以提取河流面积。然后利用小波模极大值法(WTMM)提取河流边缘,并利用蛇形模型进行平滑处理。实验使用Radarsat-1图像。实验结果表明,本文提出的方法对河流检测和边缘定位是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
River detection from SAR images
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.
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