Detector-Based Calibration for Illuminance and Luminance Meters—Experimental Results

Fiorentin, P.; Scroccaro, Alessandro

doi:10.1109/tim.2010.2045036

Cited by 23 publications

(9 citation statements)

References 10 publications

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“…According to Pietro Fiorentin et al, the correlation between illuminance ( E ) and luminance ( L ) can be deduced as:

L = \frac{E \cdot {r_{D}}^{2}}{Δ A_{s} \cdot normalcos v}

where r D is the distance between photo‐detecting system and light source, and ΔA s area of light source, and ν is the incident angle of light on the sensor surface.…”

Section: Methodsmentioning

confidence: 99%

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Quantitative measurement of global crosstalk for 3D display

et al. 2016

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A photo‐detecting system based on photo‐detector with calibrated optical response is developed to characterize the global crosstalk of three‐dimensional (3D) displays over the entire display screen. Local screens areas are investigated, revealing that the crosstalk can be very inhomogeneous over the entire screens for typical stereoscopic display and autostereoscopic display. New quantification parameters for crosstalk, including average crosstalk and crosstalk uniformity, are introduced to give a panorama view of the display system. The crosstalk measurement and characterization method not only show good agreement with the practical visual experience, but also give a global quantitative description of crosstalk.

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“…According to Pietro Fiorentin et al, the correlation between illuminance ( E ) and luminance ( L ) can be deduced as:

L = \frac{E \cdot {r_{D}}^{2}}{Δ A_{s} \cdot normalcos v}

where r D is the distance between photo‐detecting system and light source, and ΔA s area of light source, and ν is the incident angle of light on the sensor surface.…”

Section: Methodsmentioning

confidence: 99%

“…According to Pietro Fiorentin et al, 35 the correlation between illuminance (E) and luminance (L) can be deduced as:…”

Section: Methodsmentioning

confidence: 99%

Quantitative measurement of global crosstalk for 3D display

et al. 2016

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“…Light meters are calibrated to the Commission Internationale de I'Eclariage (CIE) photopic luminosity function [14]. The spectral response of these meters is referenced to the human eye [15]. Fig.…”

Section: Illuminance Measurementmentioning

confidence: 99%

A conversion guide: solar irradiance and lux illuminance

Michael¹,

Johnston²,

Moreno³

2020

J. meas. eng.

128

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The standard for measuring solar irradiance utilizes the units of watts per meter squared (W/m2). Irradiance meters are both costly and limited in the ability to measure low irradiance values. With a lower cost and higher sensitivity in low light conditions, light meters measure luminous flux per unit area (illuminance) utilizing the units of lumens per meter squared or lux (lx). An effective conversion factor between W/m2 and lx would enable the use of light meters to evaluate photovoltaic performance under low solar irradiance conditions. A survey of the literature found no definitive and readily available “rule of thumb” conversion standard between solar irradiance and illuminance. Easy-to-find Internet sources contain conflicting and widely varying values ranging from 688449 to 21000 lx for 1000 W/m2 (1 Sun) of solar irradiance. Peer-reviewed literature contains Luminous Efficacy equivalent values ranging from 21 to 131 lx per W/m2. This manuscript explores the relationship and establishes a theoretical and laboratory measurement guide for the conversion between solar irradiance and illuminance. The conversion factor includes standards data, equipment calibration accuracy, and uncertainty estimates. Solar Irradiance of 1 Sun (1000 W/m2) for an LED-based solar simulator is (116 ± 3) klx and (122 ± 1) klx for outdoor sunlight.

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“…Due to the wide view angle of the lens system, a vignetting effect [35] was expected for all cameras, i.e., a reduction of the image’s luminance, with respect to luminance of the framed surfaces, going towards the periphery of the sensor from the image center. The effect is usually corrected by using a dedicated calibration procedure, which requires placing each camera with its optics on a goniometer [36], to expose the system to a reference source with a known stable luminance and to revolve the camera around both axes orthogonal to its optical axis, scanning any lighting direction, according to the procedure described in [37,38]. A sketch illustrating the revolving of the camera is presented in Figure 6.…”

Section: Calibration Of the Imaging Subsystem Of The Minlu Instrumentmentioning

confidence: 99%

Calibration of an Autonomous Instrument for Monitoring Light Pollution from Drones

Fiorentin

Bettanini

Bogoni

2019

Sensors

Self Cite

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The paper presents the calibration activity on the imaging system of the MINLU instrument, an autonomous sensor suite designed for monitoring light pollution using commercial off-the-shelf components. The system is extremely compact and with an overall mass below 3 kg can be easily installed as a payload for drones or sounding balloons. Drones and air balloons can in fact play an important role in completing upward light emission measurement from satellites allowing an increased spatial and time resolution from convenient altitudes and positions. The proposed system can efficiently measure the luminous intensity and the spectral power density of on-ground emissions providing a useful tool to identify polluting sources and to quantify upward light flux. The metrological performance of the imaging system has been verified through an extensive laboratory test activity using referenced light sources: the overall uncertainty of the multi-luminance meter has been calculated to be 7% of the reading, while the multi-spectrometer has shown a full width at half maximum (FWHM) equal to 10 nm within the measuring range between 400 nm and 700 nm. When operating at an altitude of 200 m, the system can achieve a horizontal resolution at a ground level of 0.12 m with a wavelength resolution able to identify the different lamp technology of outdoor light sources, including light-emitting diode (LED) lights that are undetected by satellites.

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Detector-Based Calibration for Illuminance and Luminance Meters—Experimental Results

Cited by 23 publications

References 10 publications

Quantitative measurement of global crosstalk for 3D display

Quantitative measurement of global crosstalk for 3D display

A conversion guide: solar irradiance and lux illuminance

Calibration of an Autonomous Instrument for Monitoring Light Pollution from Drones

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