Research On Information Extraction Method Of Mining Area Subsidence Based On Airborne LiDAR

Mining Subsidence monitoring is important for the protection of mining mineral resources safely and the protection of mine safety,ground monitoring methods which are existing is labor intensive,low efficiency,limited coverage.Airborne LiDAR technology can obtain high-resolution,high-precision three-dimensional point cloud data quickly in a large surface area.Using airborne LiDAR technology monitor surface deformation caused by mining subsidence,you can quickly get the information of space terrain changes throughout the region,to determine the distribution of mining subsidence area and ground movement situation.Based on two phases 2009,2012 airborne LiDAR point cloud data,we construct subsidence information extraction technology processes in study area.On the basis of two data DEM difference information uncertainty analysis,lead to topography information of subsidence unless,then extract the space research area subsidence basin,distribution and amount of settlement estimates.The main contents include the following three aspects:(1)Analysis features of airborne LiDAR point cloud data.On the basis of airborne LiDAR point cloud filtering based on incremental triangulation algorithm,using inverse distance weighting interpolation method established two high-resolution DEM data;(2)In view of airborne LiDAR data characteristics,based on DEM accuracy and uncertainty analysis,we use fuzzy inference method establish error correlation surface based on the slope,the point cloud density and surface roughness,for the difference between DEMs uncertainty quantification and DEM elevation change minimum detection threshold,further using Bayesian estimation determination and correction weighting filter window,and access information in the study area of surface deformation accurately;(3)The presence of surface erosion as a result of the topography information,we obtain data for the paper on the basis of slope correlation analysis,through a mask to unless topography information which are not caused subsidence,and obtain a more accurate subsidence basin information by polynomial fitting method of cross-sectional data.Through experimental study we find that the method is suitable for large-scale mining subsidence monitoring,can quickly determine the location of the depressed region,obtain a more accurate distribution of subsidence,the area and volume information.But the growth of vegetation coverage leads to DEM error extracted increases,the elevation difference error will increase also.Airborne LiDAR data can accurately extract subsidence location,distribution,and amount of settlement subsidence depth information such as mining subsidence prediction of mining subsidence damage evaluation and provides a new technical means.