A 3D Reconstruction Algorithm for the Location of Foundations in Demolished Buildings

Sengodan, A., Cockshott, W. P. and Cuenca-Garcia, C. (2013) A 3D Reconstruction Algorithm for the Location of Foundations in Demolished Buildings. In: EUCAP 2013, The 7th European Conference on Antennas and Propagation, Gothenburg, Sweden, 8-12 April 2013, pp. 3335-3339. ISBN 9781467321877

Abstract

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.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Cuenca-Garcia, Dr Carmen and Cockshott, Dr William
• Authors: Sengodan, A., Cockshott, W. P., and Cuenca-Garcia, C.
• College/School: College of Science and Engineering > School of Computing Science
• ISBN: 9781467321877
• Copyright Holders: Copyright © 2015 IEEE3
• Publisher Policy: Reproduced in accordance with the copyright policy of the publisher.