Graphical multispectral radiation temperature inversion algorithm based on deep learning

Neural networks are the most promising tool to solve the problem that an assumed emissivity model is needed in the field of multispectral radiometric temperature measurement. Existing neural network multispectral radiometric temperature measurement algorithms have been investigating the problems of...

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Bibliographic Details

Published in:	Optics letters Vol. 48; no. 8; p. 2166
Main Authors:	Xing, Jian, Guo, Jiabo, Cui, Shuanglong, Li, Wenchao, Chang, Xinfang
Format:	Journal Article
Language:	English
Published:	United States 15.04.2023
ISSN:	1539-4794, 1539-4794
Online Access:	Get more information
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