A graph autoencoder network to measure the geometric similarity of drainage networks in scaling transformation

A graph autoencoder network to measure the geometric similarity of drainage networks in scaling transformation

Similarity measurement has been a prevailing research topic in geographic information science. Geometric similarity measurement in scaling transformation (GSM_ST) is critical to ensure spatial data quality while balancing detailed information with distinctive features. However, GSM_ST is an uncertai...

Full description

Bibliographic Details
Main Authors: Yu, Huafei, Ai, Tinghua, Yang, Min, Huang, Weiming, Harrie, Lars
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Computer and Information Science
Geometric similarity measurement
Drainage network
Online Access:https://hdl.handle.net/10356/173624

Similar Items

Similar Items