Vol. 32, issue 07, article # 3

Ostrikov V.N., Plakhotnikov O.V., Kirienko A.V. Estimation of the spectral resolution of an imaging spectrometer from Fraunhofer's lines with the MODTRAN atmospheric model. // Optika Atmosfery i Okeana. 2019. V. 32. No. 07. P. 519–524 [in Russian].
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Abstract:

The method for estimation of spectral resolution of video spectrometers on separate sections of the sensitivity scale by comparison of experimental survey results with model (calculated for the same observation conditions) Fraunhofer’s lines from a set of preset values is suggested. It is shown that both for mass-produced spectroradiometric devices and for original video spectral devices, the maximum errors of estimation by the method suggested are within 0.5 nm at the considered test lines 700 and 587 nm.

Keywords:

spectral resolution, spectroradiometer, hyperspectral, an imaging spectrometer, an atmospheric model MODTRAN

References:

  1. Balter D.B., Belov A.A., Vorontsov D.B., Vedeshin L.A., Egorov V.V., Kalinin A.P., Orlov A.G., Rodionov A.I., Rodionova I.P., Fedunin E.Yu. Proekt sputnikovogo giperspektrometra, prednaznachennogo dlya malogo kosmicheskogo apparata // Issled. Zemli iz Kosmosa. 2007. N 2. P. 43–55.
  2. Lysenko S.A. Atmosfernaya korrektsiya mnogospektral'nykh sputnikovykh snimkov na osnove approksimatsionnoj modeli perenosa solnechnogo izlucheniya // Optika atmosf. i okeana. 2017. V. 30, N 9. P. 775–788; Lisenkо S.А. Atmospheric correction of multispectral satellite images based on the solar radiation transfer approximation model // Atmos. Ocean. Opt. 2018. V. 31, N 1. P. 72–85.
  3. Belov V.V., Tarasenkov M.V. Tri algoritma statisticheskogo modelirovaniya v zadachakh opticheskoj svyazi na rasseyannom izluchenii i bistaticheskogo zondirovaniya // Optika atmosf. i okeana. 2016. V. 29, N 5. P. 397–403; Bеlоv V.V., Таrаsеnkov М.V. Three algorithms of statistical modeling in problems of optical communication on scattered radiation and bistatic sensing // Atmos. Ocean. Opt. 2016. V. 29, N 6. P. 533–540.
  4. Liao L.B., Jarecke P.J., Gleichauf D.A., Hedman T.R. Performance Characterization of the Hyperion Imaging Spectrometer Instrument // Proc. SPIE. 2000. V. 4135. P. 254–263.
  5. Szekielda L.H., Bowles J.H., Gili D.B., Miller W.D. Interpretation of Absorption Bands in Airborne Hyperspectral Radiance Data // Sensors. 2009. V. 9. P. 2907–2925.
  6. Berk A., Anderson G.P., Acharya P.K., Shettle E.P. MODTRAN 5.2.0.0 USER’s MANUEL. Spectral Sciences, INC. July 2008. 100 p.
  7. Ostrikov V.N., Plakhotnikov O.V., Kirienko A.V. Otsenka vozmozhnostej model'no-eksperimental'nogo kontrolya radiometricheskoj kalibrovki aviatsionnogo giperspektrometra v oblasti 450–1000 nm // Geoinformatsionnye nauki i ekologicheskoe razvitie: novye podkhody, metody, tekhnologii: Materialy VI Mezhdun. konf. 8–13 september 2013 year, Rostov-na-Donu. V. 2. P. 332–333.
  8. Ostrikov V.N., Plakhotnikov O.V., Chapurskij L.I. Otsenka vozmozhnostej kosmicheskogo giperspektrometra «Resurs-P» na osnove model'noj imitatsii «kubov» s primeneniem baz dannykh vysokogo prostranstvennogo razresheniya // Tr. II Vseros. nauch. konf. «Problemy voenno-prikladnoj geofiziki i kontrolya sostoyaniya prirodnoj sredy» / pod obshchej red. S.S. Suvorova. SPb.: VKA im. A.F. Mozhajskogo, 2012. V. II. P. 278–283.
  9. Ostrikov V.N., Plakhotnikov O.V. Vliyanie predvaritel'noj obrabotki dannykh giperspektral'noj syemki na kachestvo ikh tematicheskogo analiza // Issled. Zemli iz Kosmosa. 2014. N 1. P. 1–6.

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