Introduction of Deep Learning in Thermographic Monitoring of Cultural Heritage and Improvement by Automatic Thermogram Pre-Processing Algorithms

Introduction of Deep Learning in Thermographic Monitoring of Cultural Heritage and Improvement by Automatic Thermogram Pre-Processing Algorithms

The monitoring of heritage objects is necessary due to their continuous deterioration over time. Therefore, the joint use of the most up-to-date inspection techniques with the most innovative data processing algorithms plays an important role to apply the required prevention and conservation tasks i...

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Bibliographic Details
Main Authors: Iván Garrido, Jorge Erazo-Aux, Susana Lagüela, Stefano Sfarra, Clemente Ibarra-Castanedo, Elena Pivarčiová, Gianfranco Gargiulo, Xavier Maldague, Pedro Arias
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Sensors
Subjects:
infrared thermography
deep learning
mask R-CNN
thermal principles
cultural heritage
preservation
Online Access:https://www.mdpi.com/1424-8220/21/3/750

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