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Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
Krapf, Sebastian; Willenborg, Bruno; Knoll, Kevin; Bruhse, Matthias; Kolbe, Thomas H.
Title:
Deep Learning for Semantic 3D City Model Extension: Modeling Roof Superstructures using Aerial Images for Solar Potential Analysis
Abstract:
On a global scale, semantic 3D city models with Level of Detail 2 become more and more available. Automated generation of higher Level of Detail models is an active field of research, but low coverage of dense LiDAR or photogrammetric point clouds is a barrier. Therefore, this paper presents a novel approach for enriching semantic 3D city models with roof superstructures extracted from aerial images using deep learning. The method maps and classifies superstructures in 2D and subsequently tra...    »
Keywords:
GISTop_Energy; GISPro_3DCityDB; GISTop_Semantic_modeling_and_transformation; GISTop_SpatialModelingAndAlgorithms; LOCenter; LOCTop_Urban_Information_Modeling_Virtual_3D_City_Model
Book / Congress title:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume:
X-4/W2-2022
Organization:
UNSW Sydney
Date of congress:
18.-21.10.2022
Year:
2022
Quarter:
3. Quartal
Year / month:
2022-10
Month:
Oct
Pages:
161--168
Covered by:
Scopus; Web of Science
Bookseries title:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Reviewed:
ja
Language:
en
Fulltext / DOI:
doi:10.5194/isprs-annals-X-4-W2-2022-161-2022
WWW:
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/X-4-W2-2022/161/2022/
Semester:
WS 22-23
TUM Institution:
Lehrstuhl für Fahrzeugtechnik; Lehrstuhl für Geoinformatik
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