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

6 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. Development of Thermal Principles for the Automation of the Thermographic Monitoring of Cultural Heritage I. Garrido et al. https://doi.org/10.3390/s20123392
5. 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
6. 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