ALGORITHMS FOR THE AUTOMATIC DETECTION AND CHARACTERIZATION OF PATHOLOGIES IN HERITAGE ELEMENTS FROM THERMOGRAPHIC IMAGES

7 citations as recorded by crossref.

1. Close-Range Sensing and Data Fusion for Built Heritage Inspection and Monitoring—A Review E. Adamopoulos & F. Rinaudo https://doi.org/10.3390/rs13193936
2. Thermographic methodologies used in infrastructure inspection: A review—data acquisition procedures I. Garrido et al. https://doi.org/10.1016/j.infrared.2020.103481
3. IRT and GPR Techniques for Moisture Detection and Characterisation in Buildings I. Garrido et al. https://doi.org/10.3390/s20226421
4. Moisture Monitoring in Historic Buildings: A Coordinated Image-Based Protocol for Time-Lapse Thermal and Visual Data M. De Fino et al. https://doi.org/10.1080/15583058.2026.2715763
5. Development of Thermal Principles for the Automation of the Thermographic Monitoring of Cultural Heritage I. Garrido et al. https://doi.org/10.3390/s20123392
6. Introduction of Deep Learning in Thermographic Monitoring of Cultural Heritage and Improvement by Automatic Thermogram Pre-Processing Algorithms I. Garrido et al. https://doi.org/10.3390/s21030750
7. Introduction of the combination of thermal fundamentals and Deep Learning for the automatic thermographic inspection of thermal bridges and water-related problems in infrastructures I. Garrido et al. https://doi.org/10.1080/17686733.2022.2060545