Deep Learning Enhanced Multisensor Data Fusion for Building Assessment Using Multispectral Voxels and Self-Organizing Maps

Deep Learning Enhanced Multisensor Data Fusion for Building Assessment Using Multispectral Voxels and Self-Organizing Maps

Efforts in the domain of building studies involve the use of a diverse array of geomatic sensors, some providing invaluable information in the form of three-dimensional point clouds and associated registered properties. However, managing the vast amounts of data generated by these sensors presents s...

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Bibliographic Details
Main Authors: Javier Raimundo, Serafin Lopez-Cuervo Medina, Julian Aguirre de Mata, Tomás Ramón Herrero-Tejedor, Enrique Priego-de-los-Santos
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Heritage
Subjects:
multisensor
data fusion
voxel
multispectral
building
point cloud
Online Access:https://www.mdpi.com/2571-9408/7/2/51

Internet

https://www.mdpi.com/2571-9408/7/2/51

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