LANDSLIDE VOLUME CALCULATION METHOD FUSING PRINCIPAL COMPONENT ANALYSIS AND VOXEL INTEGRATION
卷宗概要
申请人
HOHAI UNIVERSITY; JIANGSU NANJING GEOLOGY ENGINEERING INVESTIGATION INSTITUTE
发明人
Yueqian SHEN; Jundi JIANG; Jinguo WANG; Xu YANG
IPC 分类
CPC 分类
A landslide volume calculation method fusing principal component analysis and voxel integration, comprising the steps of: collecting and registering bi-temporal point cloud data; establishing grids in a landslide area; calculating a normal vector of a point in each grid and a fitting planar function by using a principal component analysis method; calculating a volume variation of each grid by means of planar function integration; and calculating volume variations of all the grids, identifying an abnormal value by means of statistical analysis, and correcting the abnormal value. In the present disclosure, a landslide volume is efficiently and accurately calculated by using laser radar ranging technology and an acquired point cloud, constructing voxel units, fusing same with a principal component analysis method, and using voxel-based double integration to calculate volume variations inside voxels, thereby solving the problem of a volume result calculated by means of an average elevation being unreliable.
原文（中文）
A landslide volume calculation method fusing principal component analysis and voxel integration, comprising the steps of: collecting and registering bi-temporal point cloud data; establishing grids in a landslide area; calculating a normal vector of a point in each grid and a fitting planar function by using a principal component analysis method; calculating a volume variation of each grid by means of planar function integration; and calculating volume variations of all the grids, identifying an abnormal value by means of statistical analysis, and correcting the abnormal value. In the present disclosure, a landslide volume is efficiently and accurately calculated by using laser radar ranging technology and an acquired point cloud, constructing voxel units, fusing same with a principal component analysis method, and using voxel-based double integration to calculate volume variations inside voxels, thereby solving the problem of a volume result calculated by means of an average elevation being unreliable.