Comment on “Multispectral radiation temperature inversion based on Transformer-LSTM-SVM”

A recent publication (Cui et al., 2025) presents an inversion method to extract temperature from multiwavelength radiation measurements that is claimed to be accurate despite the absence of any information on emissivity. This Comment recalls that when no information on emissivity is available, we are faced with an unsolvable problem because it has a continuous infinity of physically acceptable solutions, among which the true solution is indistinguishable from the others. It is therefore impossible to extract reliably the true temperature. No inversion or optimization method can be successful, except by chance. However, in Cui et al. (2025), the validation tests showed systematic success, which can then only be explained by the fact that the “true” solution was known in advance. When this is not the case, the inversion method cannot be better than a random draw. Blind tests of multiwavelength thermometry methods allegedly not requiring emissivity information were recently organized. The results confirmed, if proof were needed, that this approach is a dead end.

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Publication Details

Journal
Optics Communications
Published
2025-11-08
DOI
https://doi.org/10.1016/j.optcom.2025.132634
Primary Topic
Calibration and Measurement Techniques
Type
article
Field-Weighted Citation Impact
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Comment on “Multispectral radiation temperature inversion based on Transformer-LSTM-SVM”

Jean-Claude Krapez
Optics Communications
Calibration and Measurement Techniques
article

Comment on “Multispectral radiation temperature inversion based on Transformer-LSTM-SVM”

Jean-Claude Krapez
article en

Abstract

A recent publication (Cui et al., 2025) presents an inversion method to extract temperature from multiwavelength radiation measurements that is claimed to be accurate despite the absence of any information on emissivity. This Comment recalls that when no information on emissivity is available, we are faced with an unsolvable problem because it has a continuous infinity of physically acceptable solutions, among which the true solution is indistinguishable from the others. It is therefore impossible to extract reliably the true temperature. No inversion or optimization method can be successful, except by chance. However, in Cui et al. (2025), the validation tests showed systematic success, which can then only be explained by the fact that the “true” solution was known in advance. When this is not the case, the inversion method cannot be better than a random draw. Blind tests of multiwavelength thermometry methods allegedly not requiring emissivity information were recently organized. The results confirmed, if proof were needed, that this approach is a dead end.

Optics CommunicationsVol. 599
Délégation Provence et Corse (FR)
Openalex Percentile: Top 55%
Calibration and Measurement Techniques
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Comment on “Multispectral radiation temperature inversion based on Transformer-LSTM-SVM” — Jean-Claude Krapez · Optics Communications (2025) | TGRS Research Map | TGRS