Automated building typology clustering and identification using a variational autoencoder on digital land cadastres

Automated building typology clustering and identification using a variational autoencoder on digital land cadastres

This study introduces a novel, automated methodology for extracting urban building typologies from digital land cadastres using a Variational Autoencoder (VAE). Unlike traditional shape clustering approaches, that depend on predefined rules or manual labelling, the method employs unsupervised learni...

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Bibliographic Details
Main Authors: Jaime de-Miguel-Rodriguez, M.V. Requena-Garcia-Cruz, E. Romero-Sánchez, A. Morales-Esteban
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Results in Engineering
Subjects:
Variational autoencoder (VAE)
Building typology extraction
Machine learning (ML)
Seismic vulnerability analysis
Urban cadastre
Shape clustering
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025013027
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