Determining the optimal generalization operators for building footprints using an improved graph neural network model

Determining the optimal generalization operators for building footprints using an improved graph neural network model

Determining the optimal generalization operators of city buildings is a crucial step during the building generalization process and an important aspect of realizing cross-scale updating of map data. It is a decision-making behavior of the cartographer that can be learned and simulated using artifici...

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Bibliographic Details
Main Authors: Xinyu Niu, Haizhong Qian, Xiao Wang, Limin Xie, Longfei Cui
Format: Article
Language:English
Published: Taylor & Francis Group 2024-01-01
Series:Geocarto International
Subjects:
Cartographic generalization
generalization operator
decision-making
graph neural network
Online Access:https://www.tandfonline.com/doi/10.1080/10106049.2024.2306265
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https://www.tandfonline.com/doi/10.1080/10106049.2024.2306265

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