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.File in questo prodotto:
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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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