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Midwave FTIR-Based Remote Surface Temperature Estimation Using a Deep Convolutional Neural Network in a Dynamic Weather Environment

Remote measurements of thermal radiation are very important for analyzing the solar effect in various environments. This paper presents a novel real-time remote temperature estimation method by applying a deep learning-based regression method to midwave infrared hyperspectral images. A conventional...

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Detalles Bibliográficos
Autores principales:	Kim, Sungho, Kim, Jungho, Lee, Jinyong, Ahn, Junmo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2018
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6215119/ https://www.ncbi.nlm.nih.gov/pubmed/30424428 http://dx.doi.org/10.3390/mi9100495

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