南师大仙林北区Geo3DGS场景数据集(2022年7月28日)

该数据主要范围包括南京师范大学仙林校区北区（包括老北区、新北区），航摄时间为2022年7月28日。数据集的内容包括：畸变纠正后的倾斜影像照片数据、抽稀后的LiDAR点云数据、Colmap格式的稀疏点云数据、Geo3DGS模型数据。数据基于自研的Geo3DGS模型训练工具集，融合倾斜摄影照片和LiDAR数据，在4张Nvidia A100 GPU卡上完成训练，数据具有地理空间参考信息，反映了南京师范大学仙林校区北区的植被、建筑等地理场景信息，数据分块以3DGS Ply数据格式存储。

The main coverage area of this dataset is the northern part of the Xianlin Campus of Nanjing Normal University, including both the old and new northern sections. Aerial imaging was conducted on July 28, 2022. The dataset comprises distortion-corrected oblique aerial imagery data, thinned LiDAR point cloud data, sparse point cloud data in Colmap format, and Geo3DGS model data. Training of the dataset was carried out using a self-developed Geo3DGS model training toolkit that fuses oblique aerial photographs and LiDAR data, with the entire training process completed on four Nvidia A100 GPUs. The data carries geospatial reference information and reflects geographical scene details including vegetation and buildings in the northern part of the Xianlin Campus of Nanjing Normal University. The data chunks are stored in the 3DGS PLY data format.