Improving Three-Dimensional Building Segmentation on Three-Dimensional City Models through Simulated Data and Contextual Analysis for Building Extraction

Improving Three-Dimensional Building Segmentation on Three-Dimensional City Models through Simulated Data and Contextual Analysis for Building Extraction

Digital twins are increasingly gaining popularity as a method for simulating intricate natural and urban environments, with the precise segmentation of 3D objects playing an important role. This study focuses on developing a methodology for extracting buildings from textured 3D meshes, employing the...

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Bibliographic Details
Main Authors: Frédéric Leroux, Mickaël Germain, Étienne Clabaut, Yacine Bouroubi, Tony St-Pierre
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:ISPRS International Journal of Geo-Information
Subjects:
semantic segmentation
3D building segmentation
cluster analysis
3D city models
3D mesh
data simulation
Online Access:https://www.mdpi.com/2220-9964/13/1/20

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