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An Unsupervised, Open-Source Workflow for 2D and 3D Building Mapping From Airborne LiDAR Data

This study introduces an automated, open-source workflow for large-scale 2D and 3D building mapping using airborne LiDAR data. Uniquely, our workflow operates entirely unsupervised, eliminating the need for any training procedures. We have integrated a specially tailored digital terrain model genera...

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Uloženo v:
Hlavní autoři: Hunsoo Song, Jinha Jung
Médium: Artigo
Jazyk:Inglês
Vydáno: IEEE 2024-01-01
Edice:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Témata:
3D building
airborne laser scanning (ALS)
building mapping
open-source
unsupervised
On-line přístup:https://ieeexplore.ieee.org/document/10306264/
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