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

Internet

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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