Automatic segmentation of parallel drainage patterns supported by a graph convolution neural network

Expert Systems with Applications(2023)

Cited 4|Views30
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Abstract
•GraphSAGE was applied in the segmentation of parallel drainage pattern (SPDP).•A method of building drainage dual graph (DDG) with hydrology knowledge is proposed.•The GraphSAGE outperforms other machine learning methods and GCNNs in SPDP.•The knowledge-based DDG reduces the quantity of DP samples for training.
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Key words
Parallel drainage pattern,Automatic segmentation,Graph theory,Drainage features,Graph sample and aggregate
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