Buildings are essential components of urban areas. While research on the extraction and 3D reconstruction of buildings is widely conducted, information on the fine-grained roof types of buildings is usually ignored. This limits the potential of further analysis, e.g., in the context of urban planning applications. The fine-grained classification of building roof types from satellite images is a highly challenging task due to ambiguous visual features within the satellite imagery. The lack of corresponding fine-grained building classification datasets further increases the difficulty.

2023 IEEE GRSS Data Fusion Contest: Large-Scale Fine-Grained Building Classification for Semantic Urban Reconstruction [Technical Committees]

Vivone Gemine;
2023

Abstract

Buildings are essential components of urban areas. While research on the extraction and 3D reconstruction of buildings is widely conducted, information on the fine-grained roof types of buildings is usually ignored. This limits the potential of further analysis, e.g., in the context of urban planning applications. The fine-grained classification of building roof types from satellite images is a highly challenging task due to ambiguous visual features within the satellite imagery. The lack of corresponding fine-grained building classification datasets further increases the difficulty.
2023
Istituto di Metodologie per l'Analisi Ambientale - IMAA
Inglese
11
1
94
97
4
https://ieeexplore.ieee.org/document/10089819/authors#authors
Sì, ma tipo non specificato
building
reconstruction
remote sensing
semantic standardization
urban area
Articolo Open Access
9
info:eu-repo/semantics/article
262
Persello, Claudio; Hansch, Ronny; Vivone, Gemine; Chen, Kaiqiang; Yan, Zhiyuan; Tang, Deke; Huang, Hai; Schmitt, Michael; Sun, Xian
01 Contributo su Rivista::01.01 Articolo in rivista
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Descrizione: 2023 IEEE GRSS Data Fusion Contest: Large-Scale Fine-Grained Building Classification for Semantic Urban Reconstruction [Technical Committees]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/456618
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