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A 3D reconstruction algorithm for the location of foundations in demolished buildings

机译:拆除建筑物中地基位置的3D重建算法

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The location of foundations in a demolished building can be accomplished by undertaking a Ground Penetrating Radar (GPR) survey and then to use the GPR data to generate 3D isosurfaces of what was beneath the soil surface using image reconstruction. The SIMCA ('SIMulated Correlation Algorithm') algorithm is a technique based on a comparison between the trace that would be returned by an ideal point reflector in the soil conditions at the site and the actual trace. During an initialization phase, SIMCA carries out radar simulation using the design parameters of the radar and the soil properties. The trace which would be returned by a target under these conditions is then used to form a kernel. Then SIMCA takes the raw data as the radar is scanned over the ground and removes clutter using a clutter removal technique. The system correlates the kernel with the data by carrying out volume correlation and produces 3D images of the surface of subterranean objects detected. The 3D isosurfaces are generated using MATLAB software. The validation of the algorithm has been accomplished by comparing the 3D isosurfaces produced by the SIMCA algorithm, Scheers algorithm and REFLEXW commercial software. Then the depth and the position in the x and y directions as obtained using MATLAB software for each of the cases are compared with the corresponding values approximately obtained from original Architect's drawings of the buildings.
机译:可以通过进行地面穿透雷达(GPR)调查,然后使用GPR数据生成3D等值表面(通过图像重建)来完成已拆除建筑物中地基的位置。 SIMCA(“模拟相关算法”)算法是基于比较现场土壤条件下理想点反射器返回的轨迹和实际轨迹的技术。在初始化阶段,SIMCA使用雷达的设计参数和土壤特性进行雷达模拟。目标将在这些条件下返回的跟踪然后用于形成内核。然后,当雷达在地面上扫描时,SIMCA会获取原始数据,并使用杂波去除技术去除杂波。该系统通过执行体积关联将内核与数据关联起来,并生成检测到的地下物体表面的3D图像。 3D等值面是使用MATLAB软件生成的。通过比较SIMCA算法,Scheers算法和REFLEXW商业软件产生的3D等值面,可以完成算法的验证。然后,将使用每种情况下使用MATLAB软件获得的x和y方向上的深度和位置与从原始建筑师的建筑图近似获得的相应值进行比较。

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