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Main Authors: Pan, Dong, Mo, Tan, Jiang, Zhaohui, Duan, Yuxia, Maldague, Xavier, Gui, Weihua
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2502.17525
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author Pan, Dong
Mo, Tan
Jiang, Zhaohui
Duan, Yuxia
Maldague, Xavier
Gui, Weihua
author_facet Pan, Dong
Mo, Tan
Jiang, Zhaohui
Duan, Yuxia
Maldague, Xavier
Gui, Weihua
contents Infrared thermography (IRT) is a widely used temperature measurement technology, but it faces the problem of measurement errors under interference factors. This paper 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 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 classified into three categories: Mechanism Modeling based Compensation method (MMC), Data-Driven Compensation method (DDC), and Mechanism and Data jointly driven Compensation method (MDC). 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.
format Preprint
id arxiv_https___arxiv_org_abs_2502_17525
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Interference Factors and Compensation Methods when Using Infrared Thermography for Temperature Measurement: A Review
Pan, Dong
Mo, Tan
Jiang, Zhaohui
Duan, Yuxia
Maldague, Xavier
Gui, Weihua
Signal Processing
Infrared thermography (IRT) is a widely used temperature measurement technology, but it faces the problem of measurement errors under interference factors. This paper 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 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 classified into three categories: Mechanism Modeling based Compensation method (MMC), Data-Driven Compensation method (DDC), and Mechanism and Data jointly driven Compensation method (MDC). 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.
title Interference Factors and Compensation Methods when Using Infrared Thermography for Temperature Measurement: A Review
topic Signal Processing
url https://arxiv.org/abs/2502.17525