Xây dựng quy trình thu nhận, xử lý và phân loại dữ liệu đám mây điểm LiDAR phục vụ thành lập mô hình 3D thành phố

Bài viết Xây dựng quy trình thu nhận, xử lý và phân loại dữ liệu đám mây điểm LiDAR phục vụ thành lập mô hình 3D thành phố giới thiệu quá trình xây dựng quy trình thu nhận, xử lý và phân loại dữ liệu đám mây điểm LiDAR phục vụ thành lập mô hình 3D thành phố. Trên cơ sở quy trình đã đề xuất tiến hành xây dựng thử nghiệm mô hình 3D thành phố khu vực phường Thượng Lý, quận Hồng Bàng, thành phố Hải Phòng. | Journal of Mining and Earth Sciences Vol. 63 Issue 4 2022 1 - 12 1 Study on workflow of acquiring processing and classifying LiDAR point cloud for establishment of 3D city models Quan Anh Duong 1 Hien Dinh Le 2 Hiep Van Pham 1 Cuong Quoc Nguyen 3 Quy Ngoc Bui 1 1 Faculty of Geomatics and Land Administration HanoiUniversity of Mining and Geology Vietnam 2 Naturalresources and Environment One Member Co. Ltd Vietnam 3 Department of Central and Local Agencies Coordination Monitoring Goverment Office Vietnam ARTICLE INFO ABSTRACT Article history Along with the development of mapping technologies the data acquisition Received 15th Feb. 2022 system through the aerial laser scanning system has created a huge LiDAR Accepted 23rd July 2022 point cloud data source. This is an essential and detailed data source that Available online 31st Aug. 2022 effectively serves various fields such as making maps and 3D maps etc. The Keywords process of building 3D city models requires processing many types of data at 3D city model which point cloud data processing and classification play an essential role in creating an input data source for the model. Study on workflow for Level of Detail -LoD acquiring processing and classifying point cloud data is meaningful. It plays LiDAR a vital role in the development and application of LiDAR technique in the Point cloud. current period especially in building smart cities. The article introduces a method for acquiring processing and classifying LiDAR point cloud data to establish 3D city models. Based on the proposed approach a pilot 3D model of the city in Thuong Ly ward Hong Bang district Hai Phong city was generated. The result of point cloud classification s accuracy is very good ranging from 92 to 99 depend on type of object. Based on the classification the city s 3D model is established with 2nd Level of Detail LOD2 for Thuong Ly ward. The model is very useful in urban planning and management and in the number of managing task such as .