1 Ocak 2014 Konferans bildirisi Açık Erişim

Toreyin, Behcet Ugur; Yilmaz, Ozan; Mert, Yakup Murat

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/99131</identifier>
  <creators>
    <creator>
      <creatorName>Toreyin, Behcet Ugur</creatorName>
      <givenName>Behcet Ugur</givenName>
      <familyName>Toreyin</familyName>
    </creator>
    <creator>
      <creatorName>Yilmaz, Ozan</creatorName>
      <givenName>Ozan</givenName>
      <familyName>Yilmaz</familyName>
      <affiliation>TUBITAK UZAY, Ankara, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Mert, Yakup Murat</creatorName>
      <givenName>Yakup Murat</givenName>
      <familyName>Mert</familyName>
      <affiliation>TUBITAK UZAY, Ankara, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Evaluation Of On-Board Integer Wavelet Transform Based Spectral Decorrelation Schemes For Lossless Compression Of Hyperspectral Images</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2014</publicationYear>
  <dates>
    <date dateType="Issued">2014-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/99131</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.81043/aperta.99130</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.81043/aperta.99131</relatedIdentifier>
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  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
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  <descriptions>
    <description descriptionType="Abstract">Integer-coefficient Discrete Wavelet Transformation (DWT) filters widely used in the literature are implemented and investigated as spectral decorrelator for on-board lossless hyperspectral image compression. As the performance of spectral decorrelation step has direct impact on the compression ratio (CR), it is important to employ the most convenient spectral decorrelator in terms of low computational complexity and high CR. Extensive tests using AVIRIS image data set are carried out and CRs corresponding to various subband decomposition levels are presented within a lossless hyperspectral compression framework. Results suggest that Cohen-Daubechies-Feauveau (CDF) 9/7 integer-coefficient wavelet transform with five levels of spectral subband decomposition would be an efficient spectral decorrelator for on-board lossless hyperspectral image compression.</description>
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