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dc.contributor.authorXu, G.en
dc.contributor.authorGritsevich, M.en
dc.contributor.authorPeltoniemi, J.en
dc.contributor.authorPenttilä, A.en
dc.contributor.authorWilkman, O.en
dc.contributor.authorIhalainen, O.en
dc.contributor.authorMuinonen, K.en
dc.date.accessioned2022-05-12T08:24:04Z-
dc.date.available2022-05-12T08:24:04Z-
dc.date.issued2020-
dc.identifier.citationSpectral Reflectance Processing via Local Wavelength-Direction Correlations / G. Xu, M. Gritsevich, J. Peltoniemi et al. // IEEE Geoscience and Remote Sensing Letters. — 2020. — Vol. 17. — Iss. 6. — P. 948-952. — 8845665.en
dc.identifier.issn1545-598X-
dc.identifier.otherAll Open Access, Green3
dc.identifier.urihttp://elar.urfu.ru/handle/10995/111851-
dc.description.abstractThe spectral bidirectional reflectance distribution function (BRDF) maps incident radiation of a surface to its outgoing counterpart at different wavelengths. This function plays a fundamental role in characterizing the various types of earth surfaces. Due to its high dimensionality, the measurements, analysis, and simulation of spectral BRDF are challenging. In this letter, we introduce a new method for processing spectral reflectance using the so-called data-adjacency, i.e., the correlation between adjacent wavelengths and viewing directions. The results show that the benefits of efficient representation, noise reduction, and analysis capability can all be integrated to the data. © 2019 IEEE.en
dc.description.sponsorshipThis work was supported by the Academy of Finland Consortium Project Albedo under Project 298137 and Project 298139.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en1
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceIEEE Geosci. Remote Sens. Lett.2
dc.sourceIEEE Geoscience and Remote Sensing Lettersen
dc.subjectREMOTE SENSINGen
dc.subjectSPECTRORADIOMETERSen
dc.subjectWAVELET TRANSFORMSen
dc.subjectDISTRIBUTION FUNCTIONSen
dc.subjectNOISE ABATEMENTen
dc.subjectANALYSIS CAPABILITIESen
dc.subjectBIDIRECTIONAL REFLECTANCE DISTRIBUTION FUNCTIONSen
dc.subjectEARTH SURFACEen
dc.subjectHIGH DIMENSIONALITYen
dc.subjectINCIDENT RADIATIONen
dc.subjectSPECTRAL REFLECTANCESen
dc.subjectVIEWING DIRECTIONSen
dc.subjectREFLECTIONen
dc.subjectBIDIRECTIONAL REFLECTANCEen
dc.subjectCORRELATIONen
dc.subjectDATA PROCESSINGen
dc.subjectSIMULATIONen
dc.subjectSPECTRAL ANALYSISen
dc.subjectSPECTRAL REFLECTANCEen
dc.subjectWAVELENGTHen
dc.titleSpectral Reflectance Processing via Local Wavelength-Direction Correlationsen
dc.typeArticleen
dc.typeinfo:eu-repo/semantics/articleen
dc.typeinfo:eu-repo/semantics/acceptedVersionen
dc.identifier.doi10.1109/LGRS.2019.2939228-
dc.identifier.scopus85077442260-
local.contributor.employeeXu, G., Department of Physics, University of Helsinki, Helsinki, 00100, Finland; Gritsevich, M., Department of Physics, University of Helsinki, Helsinki, 00100, Finland, Institute of Physics and Technology, Ural Federal University, Yekaterinburg, 620002, Russian Federation, Finnish Geospatial Research Institute FGI, National Land Survey of Finland, Helsinki, 00520, Finland; Peltoniemi, J., Finnish Geospatial Research Institute FGI, National Land Survey of Finland, Helsinki, 00520, Finland; Penttilä, A., Department of Physics, University of Helsinki, Helsinki, 00100, Finland; Wilkman, O., Finnish Geospatial Research Institute FGI, National Land Survey of Finland, Helsinki, 00520, Finland; Ihalainen, O., Department of Physics, University of Helsinki, Helsinki, 00100, Finland; Muinonen, K., Department of Physics, University of Helsinki, Helsinki, 00100, Finland, Finnish Geospatial Research Institute FGI, National Land Survey of Finland, Helsinki, 00520, Finlanden
local.description.firstpage948-
local.description.lastpage952-
local.issue6-
local.volume17-
dc.identifier.wos000538040600007-
local.contributor.departmentDepartment of Physics, University of Helsinki, Helsinki, 00100, Finland; Institute of Physics and Technology, Ural Federal University, Yekaterinburg, 620002, Russian Federation; Finnish Geospatial Research Institute FGI, National Land Survey of Finland, Helsinki, 00520, Finlanden
local.identifier.pure12907714-
local.description.order8845665-
local.identifier.eid2-s2.0-85077442260-
local.identifier.wosWOS:000538040600007-
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