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Supporting data for "HRHD-HK: A Benchmark Dataset of High-Rise and High-Density Urban Scenes for 3D Semantic Segmentation of Photogrammetric Point Clouds"

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datahub.hku.hk2023-12-12 更新2025-03-26 收录
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https://datahub.hku.hk/articles/dataset/Supporting_data_for_HRHD-HK_A_Benchmark_Dataset_of_High-Rise_and_High-Density_Urban_Scenes_for_3D_Semantic_Segmentation_of_Photogrammetric_Point_Clouds_/23701866/2
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HRHD-HK: A Benchmark Dataset of High-Rise and High-Density Urban Scenes for 3D Semantic Segmentation of Photogrammetric Point CloudsThis is the official repository of the HRHD-HK dataset. For technical details, please refer to:Li, M., Wu, Y., Yeh, A. G. O., & Xue, F. (2023). HRHD-HK: A benchmark dataset of high-rise and high-density urban scenes for 3D semantic segmentation of photogrammetric point cloud. Proceedings of 2023 IEEE International Conference on Image Processing Challenges and Workshops, 3714-3718. IEEE. https://doi.org/10.1109/ICIPC59416.2023.10328383Overview of HRHD-HKThis paper presents a benchmark dataset of high-rise high-density urban point clouds, namely High-Rise, High-Density urban scenes of Hong Kong (HRHD-HK) for 3D semantic segmentation.The semantic labels of HRHD-HK include 1) building, 2) vegetation, 3) road, 4) waterbody, 5) facility, 6) terrain, and 7) vehicle.Point clouds of HRHD-HK were collected in HK with two features, i.e., color and coordinates in the HK 1980 Grid system (EPSG:2326).HRHD-HK arranged in 150 tiles, contains approximately 273 million points, covering 9.375 km2.Each tile of point clouds was saved in the "ply" format with seven channels, i.e., x, y, z, red, green, blue, and label.HRHD-HK aims to supplement the existing benchmark datasets with Asian HRHD urban scenes as well as subtropical natural landscapes, such as sea, vegetation, and mountains.For any inquiries, please feel free to contact Maosu at maosulee@connect.hku.hk or Dr. Frank at xuef@hku.hk.Please cite our paper, if you find our work useful for your research.

HRHD-HK:一座高层高密度城市场景的基准数据集,旨在进行摄影测量点云的3D语义分割。本数据集正式发布于本仓库。有关技术细节,请参阅:李明,吴阳,叶兆光,薛峰(2023)。HRHD-HK:一座高层高密度城市场景的基准数据集,用于摄影测量点云的3D语义分割。2023年IEEE国际图像处理挑战与研讨会论文集,第3714-3718页。IEEE。https://doi.org/10.1109/ICIPC59416.2023.10328383 HRHD-HK数据集概述:本文提出了一座高层高密度城市点云的基准数据集,即香港的高层高密度城市场景(HRHD-HK),适用于3D语义分割。HRHD-HK的语义标签包括:1)建筑,2)植被,3)道路,4)水域,5)设施,6)地形,以及7)车辆。HRHD-HK的点云数据在香港采集,具备两个特征,即颜色和HK 1980网格系统中的坐标(EPSG:2326)。数据集被划分为150个图块,包含约2.73亿个点,覆盖9.375平方公里。每个点云图块以“ply”格式保存,包含七个通道,即x、y、z、红色、绿色、蓝色和标签。HRHD-HK旨在通过补充现有的基准数据集,纳入亚洲高层高密度城市场景以及亚热带自然景观,如海洋、植被和山脉。如有任何疑问,请随时联系毛肃(maosulee@connect.hku.hk)或薛博士(xuef@hku.hk)。若您的研究受益于我们的工作,请引用我们的论文。
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