@article{oai:muroran-it.repo.nii.ac.jp:00008472,
 author = {LI, Yongqiang and LIU, Huiyun and WEI, Fengyuan},
 journal = {室蘭工業大学紀要, Memoirs of the Muroran Institute of Technology},
 month = {Mar},
 note = {application/pdf, In this paper the author discusses the techniques and methods of monitoring coal mining subsidence using 3D laser scanning, respectively discusses data acquiring, data preprocessing, 3D modeling, data analysis, and damage forecasting. The author points out that DTMs are the foundation of data analysis and damage forecasting, the data of every period can build three kinds of DTM: Point cloud surface model, irregular triangular mesh surface model and regular grid surface model. Variation of elevation direction can be calculated through regular grid surface models, and variation of horizontal direction can be calculated through irregular triangular mesh surface models, combine variation in elevation direction and in horizontal direction, the regularity for change of the ground surface can be deduced and the variation in the future also can be forecasted. The aim of constructing point cloud model is to quest regularity for change of ground surface from another viewpoint., 特集 : 「資源、新エネルギー、環境、防災研究国際セミナー」},
 pages = {115--118},
 title = {Research on Techniques and Methods of 3D Laser Scanning Monitoring Coal Mining Subsidence},
 volume = {59},
 year = {2010}
}