We found a match
Your institution may have rights to this item. Sign in to continue.
- Title
Assessment of Material Layers in Building Walls Using GeoRadar.
- Authors
Gilmutdinov, Ildar; Schlögel, Ingrid; Hinterleitner, Alois; Wonka, Peter; Wimmer, Michael
- 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. However, so far, the obtained data have to be assessed manually, relying on the experience of the user in interpreting GPR radargrams. 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 the data collected from real buildings.
- Subjects
WALLS; CONVOLUTIONAL neural networks; CONSTRUCTION materials; DIELECTRIC properties; GROUND penetrating radar
- Publication
Remote Sensing, 2022, Vol 14, Issue 19, p5038
- ISSN
2072-4292
- Publication type
Article
- DOI
10.3390/rs14195038