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arXiv · 2208.12064

Assesment of material layers in building walls using GeoRadar

Ildar Gilmutdinov·Ingrid Schloegel·Alois Hinterleitner·Peter Wonka·Michael Wimmer
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Abstract

Assessing the structure of a building with non-invasive methods is an important problem. One of the possible approaches is to use GeoRadar to examine wall structures by analyzing the data obtained from the scans. We propose a data-driven approach to evaluate the material composition of a wall from its GPR radargrams. In order to generate training data, we use gprMax to model the scanning process. Using simulation data, we use a convolutional neural network to predict the thicknesses and dielectric properties of walls per layer. We evaluate the generalization abilities of the trained model on data collected from real buildings.

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Ildar Gilmutdinov, Ingrid Schloegel, Alois Hinterleitner, Peter Wonka, Michael Wimmer. 2022-08-25. Assesment of material layers in building walls using GeoRadar. https://arxiv.org/abs/2208.12064

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