2023 IEEE GRSS Data Fusion Contest: Large-Scale Fine-Grained Building Classification for Semantic Urban Reconstruction [Technical Committees]
Claudio Persello, Ronny Hänsch, Gemine Vivone, Kaiqiang Chen, Zhiyuan Yan, Deke Tang, Hai Huang, Michael Schmitt, Xian Sun
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.
Topics & Concepts
Computer scienceCONTESTRoofContext (archaeology)Scale (ratio)Task (project management)Sensor fusionSatelliteRemote sensingArtificial intelligenceCartographyGeographyCivil engineeringEngineeringSystems engineeringArchaeologyLawAerospace engineeringPolitical scienceRemote Sensing and LiDAR ApplicationsAutomated Road and Building Extraction3D Surveying and Cultural Heritage