Spectroradiometer Calibration for Radiance Transfer Measurements

Rammeloo, Clemens; Baumgartner, Andreas

doi:10.3390/s23042339

Cited by 7 publications

(5 citation statements)

References 29 publications

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“…2 × 10 9 5.25 8.58 Figure 11 presents the results of simulation tests showing sensor arrays on which irradiance values at points were recorded. The drawings also show a coloured scale.…”

Section: Simulation Resultsmentioning

confidence: 99%

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Modelling the Interaction of Illuminations with a Sensor Matrix Used in Vision Systems

Waśniowska,

Sioma

2023

Applied Sciences

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The article discusses a method of modelling the interaction of industrial illuminators with sensor arrays used in industrial vision systems cameras. The research used a model containing a light source and a sensor matrix. As part of the research, the average intensity of electromagnetic radiation in the visible range on the surface of the sensor matrix was measured, as well as its analysis and interpretation using a model of illuminators. The light source is described based on the measurement of an authentic industrial illuminator, for which a photometric solid was determined using a photogoniometer and spectral irradiance with a spectroradiometer. A theoretical model of the matrix was prepared, enabling the selection and control of the parameters of its work. As part of the conducted research, the impact of changing the lighting model parameters, such as the photometric solid, spectral irradiance, and number of rays, and the effect of changing the matrix parameters, such as the dimensions, number of pixels, on the irradiance measurement, were checked. The results of simulation tests are presented for selected sets of models of the light source and for the model of sensors’ matrix. The summary presents the impact of changes in parameters adopted for models on the simulation results.

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“…2 × 10 9 5.25 8.58 Figure 11 presents the results of simulation tests showing sensor arrays on which irradiance values at points were recorded. The drawings also show a coloured scale.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…The most popular device used for measuring spectral irradiance and reflectance is a spectroradiometer [9]. In this paper, it was used to measure the spectrum of electromagnetic radiation of an industrial illuminator ring light type.…”

Section: Introductionmentioning

confidence: 99%

Modelling the Interaction of Illuminations with a Sensor Matrix Used in Vision Systems

Waśniowska,

Sioma

2023

Applied Sciences

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“…The radiance of the calibrated Heliosphere has a combined standard uncertainty 𝑢;𝐿 123-4 67# <, which is estimated by propagating and combining the four uncertainties associated to the single XFR measurements 𝑢 2𝐿 123-4 3(+) 3. These instrument specific XFR uncertainties are estimated by propagating 𝑢(𝑐 " ) and 𝑢 2𝐿 " ./0%1 '(%)* 31( 3 analytically, following the GUM [17]. As 𝑢(𝑐 " ) includes both random and systematic components, we arrive at:…”

Section: F Combined Standard Uncertaintymentioning

confidence: 99%

“…However, this Heliosphere needs to be calibrated, traceable to SI and characterised to estimate the uncertainties in radiance introduced by the calibration. For this purpose, two different calibration approaches exist, (1) a laboratory calibration [14] or (2) a transfer radiometer (XFR) calibration [15]- [17]. With the second approach, an XFR is calibrated against a light source calibrated to a national standard (e.g.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty Budget for a Traceable Operational Radiometric Calibration of Field Spectroradiometers, Calibration of the Heliosphere

Werfeli,

Hueni,

Ganeva

et al. 2024

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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To measure the distinct interaction of the Earth's materials with solar electromagnetic radiation, field spectroradiometers are commonly utilised. These are used to validate spectroradiometers deployed on various platforms through comparison exercises. Following metrology standards, the inclusion of uncertainties is required. Thus, field spectroradiometers need to be calibrated regularly against traceable radiance sources. In this paper we present a laboratory radiometric calibration protocol for the calibration of a Heliosphere integrating sphere to make it traceable to SI as well as establish an uncertainty budget. We adopted a transfer radiometer approach including four spectroradiometers that were calibrated at the DLR RASTA facility before transferring that calibration to the Heliosphere. After considering various sources of uncertainty by employing an uncertainty tree diagram approach we arrive at an overall propagated uncertainty of approximately 1.5%. In a future publication, we will present how to extend the traceability to other attenuations provided by the Heliosphere. Its application to the calibration of a field spectroradiometer will be the focus of a future publication.

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“…The NL of a SVC HR-1024i spectroradiometer has been characterized previously. 11 This report concerns an upgraded model with a thermally stabilized Visible to Near InfraRed (VNIR) detector measuring in the range 341 − 1010 nm. The upgrade reduces the dependence of the radiometric response on environmental temperature.…”

Section: Introductionmentioning

confidence: 99%

Non-linearity analysis of a spectroradiometer

Torgasin,

Baumgartner

2024

SPIE Future Sensing Technologies 2024

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Hyperspectral analysis is an important remote sensing tool. Corresponding spectrometers require accurate calibration in optical laboratories. Non-linearity and temperature dependence are important factors that degrade the calibration quality. In this paper, we report on the investigation of the non-linearity of a temperature stabilized spectroradiometer HR-1024i from Spectra Vista Corporation (SVC). The spectroradiometer is applied as transfer spectroradiometer for the radiometric calibration of air-and spaceborne imaging spectrometers. Results show signal dependent non-linearity. The non-linearity of the spectrometer's VNIR detector in spectral range 450 − 980 nm shows a strong spectral channel dependence with maximal radiometric error of 2%. The non-linearity of the SWIR-2 detector in spectral range 1896 − 2510 nm could not be evaluated precisely due to the low signal level. This impact of non-linearity requires correction in post-data processing.

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Spectroradiometer Calibration for Radiance Transfer Measurements

Cited by 7 publications

References 29 publications

Modelling the Interaction of Illuminations with a Sensor Matrix Used in Vision Systems

Modelling the Interaction of Illuminations with a Sensor Matrix Used in Vision Systems

Uncertainty Budget for a Traceable Operational Radiometric Calibration of Field Spectroradiometers, Calibration of the Heliosphere

Non-linearity analysis of a spectroradiometer

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