Drainage Pattern Recognition of River Network Based on Graph Convolutional Neural Network

Drainage Pattern Recognition of River Network Based on Graph Convolutional Neural Network

Drainage network pattern recognition is a significant task with wide applications in geographic information mining, map cartography, water resources management, and urban planning. Accurate identification of spatial patterns in river networks can help us understand geographic phenomena, optimize map...

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Bibliographic Details
Main Authors:	Xiaofeng Xu, Pengcheng Liu, Mingwu Guo
Format:	Article
Language:	English
Published:	MDPI AG 2023-06-01
Series:	ISPRS International Journal of Geo-Information
Subjects:	drainage patterns pattern recognition river network binary tree graph convolution
Online Access:	https://www.mdpi.com/2220-9964/12/7/253

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