Enhancing the Thermal Inspection of Buildings Using Texture Analysis

Author:

Hesam Setayesh1,Rezayiye Reza Khoshkbary1ORCID,Ibarra-Castanedo Clemente1ORCID,Maldague Xavier1ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Universite Laval, 2325 Rue de l’Universite, Quebec, QC G1V 0A6, Canada

Publisher

MDPI

Reference10 articles.

1. Revolutionising building inspection techniques to meet large-scale energy demands: A review of the state-of-the-art;Shariq;Renew. Sustain. Energy Rev.,2020

2. Kula, J., Tunák, M., Tunak, M., and Linka, A. (2010, September 01). Inspection System of Fabric Based on Texture Segmentation Utilizing Gabor Filters. Available online: https://www.researchgate.net/publication/260487866.

3. Thermal image building inspection for heat loss diagnosis;Preda;J. Phys. Conf. Ser.,2019

4. Jordanov, I.N., Petrov, N., and Jordanov, I. (2012, April 01). Unsupervised Texture Image Classification Using Self-Organizing Maps. Available online: https://www.researchgate.net/publication/268434714.

5. Vidal-Calleja, T., Miro, J.V., Martin, F., Lingnau, D.C., and Russell, D.E. (2014, January 14–18). Automatic detection and verification of pipeline construction features with multi-modal data. Proceedings of the IEEE International Conference on Intelligent Robots and Systems, Chicago, IL, USA.

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