Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/2366
DC FieldValueLanguage
dc.contributor.authorKasparis, Takis-
dc.contributor.authorMemon, Qurban A.-
dc.contributor.otherΚασπαρής, Τάκης-
dc.date.accessioned2013-02-18T12:46:48Zen
dc.date.accessioned2013-05-17T05:29:37Z-
dc.date.accessioned2015-12-02T11:21:23Z-
dc.date.available2013-02-18T12:46:48Zen
dc.date.available2013-05-17T05:29:37Z-
dc.date.available2015-12-02T11:21:23Z-
dc.date.issued1997-08-04-
dc.identifier.citationAlgorithms for Multispectral and Hyperspectral Imagery III, 1997, Orlando, Floridaen_US
dc.identifier.issn0277-786X-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/2366-
dc.description.abstractImages obtained from satellite and airborne multispectral collection platforms exhibit a high degree of spatial and spectral correlations that must be properly exploited in any multispectral bandwidth compression scheme. Removing the inherent spectral correlation in the data results in a significant compaction of data to be coded. Discrete approximate trigonometric expansions have previously been proposed for exploiting spatial correlation in 1D signals and images for the purpose of coding.In this paper, we apply the approximate trigonometric expansions to multispectral data, and explore their capability of spectral decorrelation across bands. We show that the compression algorithms employing approximate trigonometric expansions to multispectral imagery provide fast implementation and some how better spectral decorrelation efficiency than discrete cosine transform. For comparison purposes, the results are compared with the techniques employing the discrete cosine transform. Computer simulation results are presented.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rights© 1997 SPIEen_US
dc.subjectAlgorithmsen_US
dc.subjectData processingen_US
dc.subjectSatellitesen_US
dc.subjectRemote-sensing imagesen_US
dc.subjectComputer systemsen_US
dc.titleEfficient algorithm for multispectral data coding using approximate trigonometric expansionsen_US
dc.typeConference Papersen_US
dc.affiliationUniversity of Central Floridaen
dc.collaborationUniversity of Central Floridaen_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.countryUnited Statesen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.relation.conferenceSPIE Conference Proceedingsen_US
dc.identifier.doi10.1117/12.280596en_US
dc.dept.handle123456789/54en
cut.common.academicyear1996-1997en_US
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_c94f-
item.cerifentitytypePublications-
item.openairetypeconferenceObject-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0003-3486-538x-
crisitem.author.parentorgFaculty of Engineering and Technology-
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation
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