2019 IEEE 5th International Workshop on Metrology for AeroSpace (MetroAeroSpace) 2019
DOI: 10.1109/metroaerospace.2019.8869591
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Calibration of an imaging system for monitoring light pollution from small UAVs

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Cited by 3 publications
(3 citation statements)
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“…This calibration is needed, especially when Earth-observing satellites take images without blurring for better analysis. Fiorentini et al [ 76 ] developed a sensor suite that can measure the intensity of luminance pollution of lights with a power spectral density function to detect the street lights’ various lamp technologies. At present, air balloons and drones are using in measuring light emission instead of satellites.…”
Section: Cmos Image Sensor Applicationsmentioning
confidence: 99%
“…This calibration is needed, especially when Earth-observing satellites take images without blurring for better analysis. Fiorentini et al [ 76 ] developed a sensor suite that can measure the intensity of luminance pollution of lights with a power spectral density function to detect the street lights’ various lamp technologies. At present, air balloons and drones are using in measuring light emission instead of satellites.…”
Section: Cmos Image Sensor Applicationsmentioning
confidence: 99%
“…The measuring system (MINLU) presented in this work was designed as an autonomous sensor suite able to analyze the global upward luminous emission of outdoor lighting [33,34], identifying light polluting sources and characterizing them by a direct measurement of their spectral power density, i.e., source technology. MINLU was made by using low cost, easy to buy, commercial components; therefore, it can be well reproduced by any laboratory.…”
Section: Introductionmentioning
confidence: 99%
“…The CCD cameras with fisheye lenses are invented to take full-sky images on the ground and obtain color signals, which can be further used for quantification of brightness after computer processing [131]. Additionally, under the control of radio equipment, unmanned aerial vehicle (UAV) carries digital cameras, RGB color sensors, SQM, etc., to obtain photography samples or parameter information [132,133]. According to the data attributes from the observations, the field measurement techniques for the urban nighttime light environment can be divided into two categories: image-based and value-based [134].…”
mentioning
confidence: 99%