DOAJ Open Access 2020

LOD3 BUILDING RECONSTRUCTION FROM MULTI-SOURCE IMAGES

H. Huang M. Michelini M. Schmitz L. Roth H. Mayer

Abstrak

We propose a pipeline for the detection as well as modeling of individual buildings based on multi-source images. It allows to consistently reconstruct whole buildings at Level of Detail 3 (LoD3): the roof from airborne images and the facades including elements such as windows and doors mainly from terrestrial images. We employ a parametrized top-down model – the “shell model” – with the roof as well as the facades semantically and geometrically integrated. This generative model fosters stability for building detection by enabling the use of multi-source data and offers flexibility in modeling by means of a fully CAD-compatible integration of building components. Experiments performed on imagery from different terrestrial and airborne (Unmanned Aerial Vehicle – UAV) cameras demonstrate the potential of the approach.

Penulis (5)

H

H. Huang

M

M. Michelini

M

M. Schmitz

L

L. Roth

H

H. Mayer

Format Sitasi

Huang, H., Michelini, M., Schmitz, M., Roth, L., Mayer, H. (2020). LOD3 BUILDING RECONSTRUCTION FROM MULTI-SOURCE IMAGES. https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-427-2020

Akses Cepat

Informasi Jurnal
Tahun Terbit
2020
Sumber Database
DOAJ
DOI
10.5194/isprs-archives-XLIII-B2-2020-427-2020
Akses
Open Access ✓