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Ultra-broadband contactless imaging power meter
Author(s) -
Abderezak Aouali,
S. Chevalier,
Alain Sommier,
Mohamed Ayadi,
JeanChristophe Batsale,
Daniel L. Balageas,
C. Pradère
Publication year - 2021
Publication title -
applied optics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.668
H-Index - 197
eISSN - 2155-3165
pISSN - 1559-128X
DOI - 10.1364/ao.432479
Subject(s) - broadband , multispectral image , image resolution , optics , inverse problem , computer science , temporal resolution , remote sensing , physics , computer vision , geology , mathematical analysis , mathematics
Knowledge of the spatial and temporal distribution of heat flux is of great interest for the quantification of heat sources. In this work, we describe the development of a new ultra-broadband contactless imaging power meter based on electromagnetic to infrared technology. This new sensor and the mathematical processing of images enable the reconstruction of both spatial and amplitude distributions through a wide spectral range of sources. The full modeling of the thermoconverter based on 3D formalism of thermal quadrupoles is presented first before deriving a reduced model more suitable for quick and robust inverse processing. The inverse method makes it possible to simultaneously identify the heat losses and the spatial and temporal source distribution for the first time, to the best of our knowledge. Finally, measurements of multispectral sources are presented and discussed, with an emphasis on the spatial and temporal resolution, accuracy and capabilities of the power meter.

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