2023 IEEE GRSS data fusion contest: Large-scale fine-grained building classification for semantic urban reconstruction [technical committees]

C. Persello, Ronny Hansch*, Gemine Vivone, Kaiqiang Chen, Zhiyuan Yan, Deke Tang, Hai Huang, Michael Schmitt, Xian Sun

*Corresponding author for this work

Research output: Contribution to specialist publicationArticleProfessional

9 Citations (Scopus)
356 Downloads (Pure)

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.
Original languageEnglish
Pages94-97
Number of pages4
Volume11
No.1
Specialist publicationIEEE geoscience and remote sensing magazine
DOIs
Publication statusPublished - 31 Mar 2023

Keywords

  • 2023 OA procedure

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