Interference Factors and Compensation Methods When Using Infrared Thermography for Temperature Measurement: A Review

Infrared thermography (IRT) is a widely used temperature measurement technology, but it faces the problem of measurement errors under interference factors. This article attempts to summarize the common interference factors and temperature compensation methods when applying IRT. According to the source of factors affecting the infrared temperature measurement (ITM) accuracy, the interference factors are divided into three categories: factors from the external environment, factors from the measured object, and factors from the infrared thermal imager itself. At the same time, the existing compensation methods are summarized and classified into three categories: mechanism modeling-based compensation (MMC) method, data-driven compensation (DDC) method, and mechanism and data jointly driven compensation (MDC) method. Furthermore, we discuss the problems existing in the temperature compensation methods and future research directions, aiming to provide some References for researchers in academia and industry when using IRT technology for temperature measurement.

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Publication Details

Journal
IEEE Transactions on Instrumentation and Measurement
Published
2025-01-01
DOI
https://doi.org/10.1109/tim.2025.3597695
Citations
10
Primary Topic
Infrared Target Detection Methodologies
Type
article
Field-Weighted Citation Impact
49.94

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article

Interference Factors and Compensation Methods When Using Infrared Thermography for Temperature Measurement: A Review

Zhaohui Jiang, Dong Pan, Yu-Xia Duan, Xavier Maldague et al.
10 citations
IEEE Transactions on Instrumentation and Measurement
Infrared Target Detection Methodologies
49.94
article

Interference Factors and Compensation Methods When Using Infrared Thermography for Temperature Measurement: A Review

Zhaohui Jiang, Dong Pan, Yu-Xia Duan, Xavier Maldague, Zhongmei Li, Weihua Gui, Ting‐Shan Mo
article en
10 citations

Abstract

Infrared thermography (IRT) is a widely used temperature measurement technology, but it faces the problem of measurement errors under interference factors. This article attempts to summarize the common interference factors and temperature compensation methods when applying IRT. According to the source of factors affecting the infrared temperature measurement (ITM) accuracy, the interference factors are divided into three categories: factors from the external environment, factors from the measured object, and factors from the infrared thermal imager itself. At the same time, the existing compensation methods are summarized and classified into three categories: mechanism modeling-based compensation (MMC) method, data-driven compensation (DDC) method, and mechanism and data jointly driven compensation (MDC) method. Furthermore, we discuss the problems existing in the temperature compensation methods and future research directions, aiming to provide some References for researchers in academia and industry when using IRT technology for temperature measurement.

IEEE Transactions on Instrumentation and MeasurementVol. 74
Central South University (CN), East China University of Science and Technology (CN), Université Laval (CA)
Natural Science Foundation for Young Scientists of Shanxi Province
Openalex Percentile: Top 0%
Infrared Target Detection Methodologies
49.94
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Interference Factors and Compensation Methods When Using Infrared Thermography for Temperature Measurement: A Review — Zhaohui Jiang, Dong Pan, et al. · IEEE Transactions on Instrumentation and Measurement (2025) | TGRS Research Map | TGRS