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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Detalles Bibliográficos
Autores principales: Garrido, Iván, Erazo-Aux, Jorge, Lagüela, Susana, Sfarra, Stefano, Ibarra-Castanedo, Clemente, Pivarčiová, Elena, Gargiulo, Gianfranco, Maldague, Xavier, Arias, Pedro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865573/
https://www.ncbi.nlm.nih.gov/pubmed/33499344
http://dx.doi.org/10.3390/s21030750

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865573/
https://www.ncbi.nlm.nih.gov/pubmed/33499344
http://dx.doi.org/10.3390/s21030750

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