Next Article in Journal
Self-Supervised LiDAR Desnowing with 3D-KNN Blind-Spot Networks
Previous Article in Journal
Corn Plant Detection Using YOLOv9 Across Different Soil Background Colors, Growth Stages, and UAV Flight Heights
Previous Article in Special Issue
Imaging Cultural Heritage at Different Scales: Part II, the Meso-Scale (Sites)
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Combining Ground Penetrating Radar and a Terrestrial Laser Scanner to Constrain EM Velocity: A Novel Approach for Masonry Wall Characterization in Cultural Heritage Applications

1
Dipartimento di Fisica e Geologia, Università degli Studi di Perugia, Piazza dell’Università, 1, 06123 Perugia, Italy
2
Dipartimento di Ingegneria, Università degli Studi di Perugia, Via Goffredo Duranti, 93, 06125 Perugia, Italy
3
Dipartimento di Ingegneria Civile ed Ambientale, Università degli Studi di Perugia, Via Goffredo Duranti, 93, 06125 Perugia, Italy
*
Author to whom correspondence should be addressed.
Remote Sens. 2026, 18(1), 15; https://doi.org/10.3390/rs18010015 (registering DOI)
Submission received: 10 November 2025 / Revised: 11 December 2025 / Accepted: 12 December 2025 / Published: 20 December 2025

Abstract

In this paper, the combined use of Ground Penetrating Radar (GPR) and a Terrestrial Laser Scanner (TLS) is illustrated to highlight multiple advantages arising from the integration of these two distinct Non-Destructive Testing (NDT) techniques in the investigation of a historical wall. In particular, thanks to the TLS point cloud, a precise evaluation of the medium’s thickness, as well as its irregularities, was carried out. Based on this accurate geometrical constraint, a first-order velocity model, to be used for a time-to-depth conversion and for a post-stack GPR data migration, was computed. Moreover, a joint visualization of both datasets (GPR and TLS) was achieved in a novel tridimensional workspace. This solution provided a more straightforward and efficient way of testing the reliability of the combined results, proving the efficiency of the proposed method in the estimation of a velocity model, especially in comparison to conventional GPR methods. This demonstrates how the integration of different remote sensing methodologies can yield a more solid interpretation, taking into account the uncertainties related to the geometrical irregularities of the external wall’s surface and the inner structure generating complex GPR signatures.
Keywords: NDT; GPR; TLS; velocity model; masonry; cultural heritage; conservation NDT; GPR; TLS; velocity model; masonry; cultural heritage; conservation

Share and Cite

MDPI and ACS Style

Alaia, G.; Ercoli, M.; Brigante, R.; Marconi, L.; Cavalagli, N.; Radicioni, F. Combining Ground Penetrating Radar and a Terrestrial Laser Scanner to Constrain EM Velocity: A Novel Approach for Masonry Wall Characterization in Cultural Heritage Applications. Remote Sens. 2026, 18, 15. https://doi.org/10.3390/rs18010015

AMA Style

Alaia G, Ercoli M, Brigante R, Marconi L, Cavalagli N, Radicioni F. Combining Ground Penetrating Radar and a Terrestrial Laser Scanner to Constrain EM Velocity: A Novel Approach for Masonry Wall Characterization in Cultural Heritage Applications. Remote Sensing. 2026; 18(1):15. https://doi.org/10.3390/rs18010015

Chicago/Turabian Style

Alaia, Giorgio, Maurizio Ercoli, Raffaella Brigante, Laura Marconi, Nicola Cavalagli, and Fabio Radicioni. 2026. "Combining Ground Penetrating Radar and a Terrestrial Laser Scanner to Constrain EM Velocity: A Novel Approach for Masonry Wall Characterization in Cultural Heritage Applications" Remote Sensing 18, no. 1: 15. https://doi.org/10.3390/rs18010015

APA Style

Alaia, G., Ercoli, M., Brigante, R., Marconi, L., Cavalagli, N., & Radicioni, F. (2026). Combining Ground Penetrating Radar and a Terrestrial Laser Scanner to Constrain EM Velocity: A Novel Approach for Masonry Wall Characterization in Cultural Heritage Applications. Remote Sensing, 18(1), 15. https://doi.org/10.3390/rs18010015

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop