比赛信息：链接
The Contest: Goals and Organisation
The 2019 Data Fusion Contest, organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (GRSS), the Johns Hopkins University (JHU), and the Intelligence Advanced Research Projects Activity (IARPA), aimed to promote research in semantic 3D reconstruction and stereo using machine intelligence and deep learning applied to satellite images.
The global objective was to reconstruct both a 3D geometric model and a segmentation of semantic classes for an urban scene. Incidental satellite images, airborne lidar data, and semantic labels were provided to the community. The 2019 Data Fusion Contest consisted of four parallel and independent competitions, corresponding to four diverse tasks:
- Track 1: Single-view Semantic 3D Challenge
- Track 2: Pairwise Semantic Stereo Challenge
- Track 3: Multi-view Semantic Stereo Challenge
- Track 4: 3D Point Cloud Classification Challenge
冠军方案：链接
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