arXiv Open Access 2022

Assesment of material layers in building walls using GeoRadar

Ildar Gilmutdinov Ingrid Schloegel Alois Hinterleitner Peter Wonka Michael Wimmer

Lihat Sumber

Abstrak

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.

Topik & Kata Kunci

cs.LG eess.SP

Penulis (5)

Ildar Gilmutdinov

Ingrid Schloegel

Alois Hinterleitner

Peter Wonka

Michael Wimmer

Format Sitasi

APA MLA BibTeX

Gilmutdinov, I., Schloegel, I., Hinterleitner, A., Wonka, P., Wimmer, M. (2022). Assesment of material layers in building walls using GeoRadar. https://arxiv.org/abs/2208.12064

Akses Cepat

Lihat di Sumber

Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓