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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Construct Channel Network Topology From Remote Sensing Images by Morphology and Graph Analysis
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Construct Channel Network Topology From Remote Sensing Images by Morphology and Graph Analysis

机译：通过形态和图形分析构建遥感图像的频道网络拓扑

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摘要

Channel network topology plays an important role in hydrological analysis. This letter proposes an innovative method to construct it based only on remote sensing images. The method uses spectral water indexes and mask of large lakes and ocean areas derived from remote sensing data to generate the map of channels. Then, a morphological thinning algorithm is introduced to extract the initial skeleton of channels. Moreover, an iterative pruning process based on a graph algorithm is proposed to simplify the initial skeleton. Finally, according to the simplified skeleton and its adjacency matrix, a new connectivity graph can be constructed to describe the channel network topology. The proposed method can construct complete skeleton structure and the topology of channels with good connectivity in an automatic way. The output will facilitate detailed hydrological modeling and further applications.
机译：渠道网络拓扑在水文分析中起着重要作用。这封信提出了一种仅基于遥感图像构建它的创新方法。该方法使用频谱水指数和大湖泊和海洋区域的掩模，从遥感数据导出以产生通道的地图。然后，引入了一种形态细化算法以提取通道的初始骨架。此外，提出了一种基于图形算法的迭代修剪过程来简化初始骨架。最后，根据简化的骨架及其邻接矩阵，可以构建新的连接图形以描述信道网络拓扑。所提出的方法可以以自动方式构建具有良好连接的通道的完整骨架结构和通道的拓扑。输出将促进详细的水文建模和进一步的应用。

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