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dc.contributor.authorFiorentin, Pietro
dc.contributor.authorBertolo, Andrea
dc.contributor.authorCavazzani, Stefano
dc.contributor.authorOrtolani, Sergio
dc.date.accessioned2024-02-01T08:41:45Z
dc.date.available2024-02-01T08:41:45Z
dc.date.created2023-10-04T12:51:56Z
dc.date.issued2023
dc.identifier.citationRemote Sensing. 2023, 15 (17), .en_US
dc.identifier.issn2072-4292
dc.identifier.urihttps://hdl.handle.net/11250/3114987
dc.description.abstractThe use of RGB cameras in photometric applications has grown over the last few decades in many fields such as industrial applications, light engineering and the analysis of the quality of the night sky. In this last field, they are often used in conjunction with a Sky Quality Meter (SQM), an instrument used for the measurement of night sky brightness (NSB), mainly when there is a significant amount of artificial light at night (ALAN). The performances of these two instruments are compared here. A simple source composed of nine narrowband LEDs in an integrating sphere was used to excite the two instruments and therefore measure the spectral responsivity of the SQM and of the three channels of the camera. The estimated uncertainties regarding spectral responsivity were less than 10%. A synthetic instrument approximating the SQM’s responsivity can be created using a combination of the R, G and B channels. The outputs of the two instruments were compared by measuring the spectral radiance of the night sky. An evaluation of the spectral mismatch between the two instruments completed the analysis of their spectral sensitivity. Finally, the measurements of real SQMs in four sites experiencing different levels of light pollution were compared with the values obtained by processing the recorded RGB images. Overall, the analysis shows that the two instruments have significantly different levels of spectral responsivity, and the alignment of their outputs requires the use of a correction which depends on the spectral distribution of the light coming from the sky. A synthetic SQM will always underestimate real SQM measures; an average correction factor was evaluated considering nine sky spectra under low and medium levels of light pollution; this was determined to be 1.11 and, on average, compensated for the gap. A linear correction was also supposed based on the correlation between the NSB levels measured by the two instruments; the mean squared error after the correction was 0.03 mag arcsec−2.en_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleLaboratory Characterisation of a Commercial RGB CMOS Camera for Measuring Night Sky Brightnessen_US
dc.title.alternativeLaboratory Characterisation of a Commercial RGB CMOS Camera for Measuring Night Sky Brightnessen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber0en_US
dc.source.volume15en_US
dc.source.journalRemote Sensingen_US
dc.source.issue17en_US
dc.identifier.doi10.3390/rs15174196
dc.identifier.cristin2181626
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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