1 Ocak 2015 Konferans bildirisi Açık Erişim

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

DataCite XML

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/100779</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, TR-06531 Ankara, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Mert, Yakup Murat</creatorName>
      <givenName>Yakup Murat</givenName>
      <familyName>Mert</familyName>
      <affiliation>TUBITAK ILTAREN, TR-06800 Ankara, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Turk, Fethi</creatorName>
      <givenName>Fethi</givenName>
      <familyName>Turk</familyName>
      <affiliation>TUBITAK UZAY, TR-06531 Ankara, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Lossless Hyperspectral Image Compression Using Wavelet Transform Based Spectral Decorrelation</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2015</publicationYear>
  <dates>
    <date dateType="Issued">2015-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/100779</alternateIdentifier>
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  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.81043/aperta.100778</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.81043/aperta.100779</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">Integer-coefficient Discrete Wavelet Transformation (DWT) filters widely used in the literature are implemented and investigated as spectral decorrelator. 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 computational complexity and CR. 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. Two-dimensional images corresponding to each band is compressed using JPEG-LS algorithm. 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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