Analysis of multi-factor on measurement improvement of an infrared imager in low-temperature environments

He, Yehua; Fan, Yuchen; Li, Yu; Chen, Li

doi:10.1016/j.infrared.2021.103813

Cited by 8 publications

(3 citation statements)

References 25 publications

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“…This measurement technique is relatively simple to set up and is non-destructive. However, achieving accurate temperature measurements is not straightforward because of potential sources of error [13]. These include radiometric calibration [14], non-uniformity correction (NUC) [15,16], and the contribution of environmental radiance to the observed scene's radiance.…”

Section: Introductionmentioning

confidence: 99%

In-Situ Pixel-wise Emissivity Measurement Using a Multispectral Infrared Camera

Poissenot-Arrigoni,

Marcon,

Rossi

et al. 2023

J. Imaging

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In the thermography process, accurately determining emissivity is crucial to obtain precise temperature measurements as it enables the conversion of radiometric values to absolute temperatures. However, assessing emissivity is not a straightforward task as it depends on various other parameters. Traditional methods for measuring emissivity often involve costly materials and cannot be carried out simultaneously with infrared image acquisition. This article presents a method for obtaining pixel-wise emissivity using data from a multispectral infrared camera. Consequently, this method allows for direct emissivity measurement during infrared camera acquisition without the need for additional materials or experiments.

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Section: Introductionmentioning

confidence: 99%

In-Situ Pixel-wise Emissivity Measurement Using a Multispectral Infrared Camera

Poissenot-Arrigoni,

Marcon,

Rossi

et al. 2023

J. Imaging

View full text Add to dashboard Cite

show abstract

“…This measurement technique is relatively simple to set up and is non-destructive. However, achieving accurate temperature measurements is not straightforward due to potential sources of error [10]. These include radiometric calibration [11], non-uniformity correction (NUC) [12], [13], and the contribution of environmental radiance to the observed scene's radiance.…”

Section: Introductionmentioning

confidence: 99%

In-situ pixel wise emissivity measurement using a multispectral infrared camera

Poissenot-Arrigoni

Marcon

Rossi

et al. 2023

Preprint

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In the thermography process, accurately determining emissivity is crucial for obtaining precise temperature measurements as it enables the conversion of radiometric values to absolute temperatures. However, assessing emissivity is not a straightforward task as it depends on various other parameters. Traditional methods for measuring emissivity often involve costly materials and cannot be carried out simultaneously with infrared image acquisition. This article presents a method for obtaining pixel-wise emissivity using data from a multispectral infrared camera. Consequently, this method allows for direct emissivity measurement during infrared camera acquisition without the need for additional materials or experiments.

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“…For cooled infrared imaging systems, several scholars [ 16 , 17 , 18 , 19 ] have analyzed the influence of internal stray radiation on the total response of the system and have established simplified models of internal stray radiation. He et al [ 20 ] focused on analyzing the impact of key factors, such as the radiation rate, ambient temperature, and working temperature, on the temperature measurement error. In a blackbody calibration experiment, a segmented multi-parameter model of the cooled infrared thermal camera was developed using a multi-parameter calibration approach.…”

Section: Introductionmentioning

confidence: 99%

Calibration Method for Airborne Infrared Optical Systems in a Non-Thermal Equilibrium State

Dong

Shen

Jia

et al. 2023

Sensors

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Airborne infrared optical systems equipped with multiple cooled infrared cameras are commonly utilized for quantitative radiometry and thermometry measurements. Radiometric calibration is crucial for ensuring the accuracy and quantitative application of remote sensing camera data. Conventional radiometric calibration methods that consider internal stray radiation are usually based on the assumption that the entire system is in thermal equilibrium. However, this assumption leads to significant errors when applying the radiometric calibration results in actual mission scenarios. To address this issue, we analyzed the changes in optical temperature within the system and developed a simplified model to account for the internal stray radiation in the non-thermal equilibrium state. Building upon this model, we proposed an enhanced radiometric calibration method, which was applied to the absolute radiometric calibration procedure of the system. The radiometric calibration experiment, conducted on the medium-wave channel of the system within a temperature test chamber, demonstrated that the proposed method can achieve a calibration accuracy exceeding 3.78% within an ambient temperature range of −30 °C to 15 °C. Additionally, the maximum temperature measurement error was found to be less than ±1.01 °C.

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Analysis of multi-factor on measurement improvement of an infrared imager in low-temperature environments

Cited by 8 publications

References 25 publications

In-Situ Pixel-wise Emissivity Measurement Using a Multispectral Infrared Camera

In-Situ Pixel-wise Emissivity Measurement Using a Multispectral Infrared Camera

In-situ pixel wise emissivity measurement using a multispectral infrared camera

Calibration Method for Airborne Infrared Optical Systems in a Non-Thermal Equilibrium State

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