首页> 外文会议>International Conference on Computer Analysis of Images and Patterns(CAIP 2007); 20070827-29; Vienna(AT) >Extraction of River Networks from Satellite Images by Combining Mathematical Morphology and Hydrology
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Extraction of River Networks from Satellite Images by Combining Mathematical Morphology and Hydrology

机译:数学形态学与水文学相结合的卫星图像河网提取

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摘要

In this paper, we propose a new methodology for extracting river networks from satellite images. It combines morphological generalised geodesic transformations with hydrological overland flow simulations. The method requires the prior generation of a geodesic mask and a marker image by applying a series of transformations to the original image. These images are then combined so as to produce a pseudo digital elevation model whose valleys match the desired networks. The performance of the methodology is demonstrated for the extraction of river networks from a single band of a Landsat image. The method is generic in the sense that it can be extended for the extraction of other types of arborescent networks such as blood vessels in medical images.
机译:在本文中,我们提出了一种从卫星图像中提取河网的新方法。它将形态学广义测地变换与水文陆上水流模拟相结合。该方法需要通过对原始图像进行一系列转换来预先生成测地线掩模和标记图像。然后将这些图像进行组合,以产生其谷值与所需网络匹配的伪数字高程模型。演示了该方法的性能,可从Landsat图像的单个波段提取河流网络。从可以扩展到提取其他类型的树状网络(例如医学图像中的血管)的意义上说,该方法是通用的。

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