A Visual Sensing Concept for Robustly Classifying House Types through a Convolutional Neural Network Architecture Involving a Multi-Channel Features Extraction

The core objective of this paper is to develop and validate a comprehensive visual sensing concept for robustly classifying house types. Previous studies regarding this type of classification show that this type of classification is not simple (i.e., tough) and most classifier models from the relate...

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Detalles Bibliográficos
Autores principales: Tavakkoli, Vahid, Mohsenzadegan, Kabeh, Kyamakya, Kyandoghere
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582486/
https://www.ncbi.nlm.nih.gov/pubmed/33027893
http://dx.doi.org/10.3390/s20195672

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582486/
https://www.ncbi.nlm.nih.gov/pubmed/33027893
http://dx.doi.org/10.3390/s20195672

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