2023
DOI: 10.1111/tgis.13041
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Identification of drainage patterns using a graph convolutional neural network

Abstract: Various geological factors shape drainage patterns. Identifying drainage patterns is a classic problem in topographical knowledge mining and map generalization. Existing rule‐based methods rely heavily on the parameter settings of cartographers for drainage‐pattern recognition. These methods effectively identify drainage patterns in specific areas but require manual parameter tuning to identify drainage patterns in other areas. Owing to the complexity of topological and geometric characteristics, drainage patt… Show more

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Cited by 7 publications
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References 38 publications
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