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dc.date.accessioned2023-01-25T17:58:44Z
dc.date.available2023-01-25T17:58:44Z
dc.date.created2023-01-19T11:35:56Z
dc.date.issued2022
dc.identifier.citationSkauli, Torbjørn . A Performance Characteristic for Net Light Collection in Hyperspectral and Conventional Cameras: A*. IEEE Transactions on Geoscience and Remote Sensing. 2022, 60
dc.identifier.urihttp://hdl.handle.net/10852/99176
dc.description.abstractThe signal-to-noise ratio of modern cameras under normal operating conditions tends to be limited by “photon noise” originating from the random arrival of photons. For best signal-to-noise ratio, it is desirable to collect as much light as possible, and to avoid losses internally in the camera. There is currently no widely accepted metric for the resulting net light collection, which depends on many aspects of camera design. The IEEE Standards Association P4001 group is developing a standard for hyperspectral imaging, including ways to fully specify camera performance in an efficient way. Motivated by P4001 requirements, this work proposes to specify the net light collection in a single quantity, denoted A∗
dc.languageEN
dc.publisherIEEE Geoscience and Remote Sensing Society
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleA Performance Characteristic for Net Light Collection in Hyperspectral and Conventional Cameras: A*
dc.title.alternativeENEngelskEnglishA Performance Characteristic for Net Light Collection in Hyperspectral and Conventional Cameras: A*
dc.typeJournal article
dc.creator.authorSkauli, Torbjørn
cristin.unitcode185,15,30,30
cristin.unitnameSeksjon for autonome systemer og sensorteknologier
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2
dc.identifier.cristin2110196
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=IEEE Transactions on Geoscience and Remote Sensing&rft.volume=60&rft.spage=&rft.date=2022
dc.identifier.jtitleIEEE Transactions on Geoscience and Remote Sensing
dc.identifier.volume60
dc.identifier.doihttps://doi.org/10.1109/TGRS.2022.3228071
dc.type.documentTidsskriftartikkel
dc.type.peerreviewedPeer reviewed
dc.source.issn0196-2892
dc.type.versionPublishedVersion
cristin.articleid5635415


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