Drainage Pattern Recognition Method Using Graph Convolutional Networks Combined With Three‐Dimensional Elevation Features

ABSTRACT Drainage pattern recognition plays a crucial role in flood management, hydraulic engineering site selection, and biodiversity maintenance. Although deep learning methods have been widely employed in drainage pattern recognition in recent years, most research has focused on two‐dimensional f...

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Vydané v:	Transactions in GIS Ročník 29; číslo 1
Hlavní autori:	Qiang, Bo, Liu, Tao, Du, Ping, Li, Pengpeng, Wang, Wenning, Xu, Shenglu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Blackwell Publishing Ltd 01.02.2025
Predmet:	Accuracy Artificial neural networks Biodiversity Chebyshev approximation Deep learning Drainage Drainage patterns Flood control Flood management Geographic information systems graph convolutional network Hydraulic engineering Machine learning Mathematical morphology Pattern recognition Polynomials river Site selection Support vector machines three‐dimensional elevation
ISSN:	1361-1682, 1467-9671
On-line prístup:	Získať plný text
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