| With the continuous development of social economy,the acceleration of urbanization process,and the continuous expansion of urban scale,the transformation of old urban areas,shantytowns,and villages in cities has become an integral part of the process of urban construction.The related urban demolition and resettlement compensation has become a social hot spot,the focus of government work,and the concern of the people.Therefore,more and more houses will be demolished,and the demolition workload is increasing year by year,followed by more and more demolition problems.For example,the demolition data is not accurate and detailed enough,the demolition cost exceeds the previously estimated range,and affects the normal life of the surrounding residents.These problems affect the efficiency of demolition to a large extent,and further cause dissatisfaction of the demolished people.Therefore,in order to ensure the quality and progress of demolition,it is necessary to collect housing data and analyze the information of the houses to be demolished before the demolition work is officially carried out,so as to provide guarantee and convenience for the next formulation of demolition plan.This paper studies the tilt image point cloud data obtained by UAV,obtains the detailed data of houses according to the image point cloud data of houses within the demolition range,and then simulates the cost of land acquisition and demolition and compensation,and then carries out an all-round analysis and evaluation of the virtual demolition model through the B/S terminal to achieve the purpose of "virtual demolition",Provide technical support for the formulation of land acquisition and demolition plan and planning decision before the demolition,and promote the smooth progress of demolition and compensation.The main contents and achievements of this paper are as follows:(1)In order to improve the data accuracy and obtain more accurate house data,the vegetation point cloud in the demolition area is filtered first.The simulation cloth filtering method is used to filter the point cloud of the tilted image in the demolition area,filter out the ground points,and then use the EXG index to remove the vegetation from the non ground points.The grid threshold is established to optimize the vegetation filtering effect,so as to avoid the removal of the building point cloud close to the vegetation.(2)In order to effectively extract the demolished buildings from the filtered image point cloud,a DBSCAN clustering optimization algorithm based on the number and height of single building is proposed according to the characteristics of the tilted image point cloud.This algorithm can effectively extract the building point cloud,and the integrity of the extracted building is also higher,which is conducive to the acquisition of information about demolished buildings.(3)Acquisition of housing demolition information.In view of the demand for housing information from demolition related policies,the method of automatic extraction of building information is designed based on single building point cloud.Through this method,the detailed data of the building subject can be obtained,providing technical support for the simulation calculation of demolition cost and the demolition business.(4)Develop a virtual demolition platform based on Cesium.On the basis of realizing the extraction of single building point cloud and the calculation of attribute information,the virtual demolition visualization platform designed and developed can well realize the management of demolition building information and visualization of3 D virtual scene by making full use of the original image point cloud data and single building point cloud data. |
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