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@ARTICLE{Canty:53329,
      author       = {Canty, M. J. and Nielsen, A. A.},
      title        = {{V}isualization and unsupervised classification of changes
                      in multispectral satellite imagery},
      journal      = {International journal of remote sensing},
      volume       = {27},
      issn         = {0143-1161},
      address      = {London},
      publisher    = {Taylor $\&$ Francis},
      reportid     = {PreJuSER-53329},
      pages        = {3961 - 3975},
      year         = {2006},
      note         = {Record converted from VDB: 12.11.2012},
      abstract     = {The statistical techniques of multivariate alteration
                      detection, minimum/maximum autocorrelation factors
                      transformation, expectation maximization and probabilistic
                      label relaxation are combined in a unified scheme to
                      visualize and to classify changes in multispectral satellite
                      data. The methods are demonstrated with an example involving
                      bitemporal LANDSAT TM imagery.},
      keywords     = {J (WoSType)},
      cin          = {ICG-IV},
      ddc          = {620},
      cid          = {I:(DE-Juel1)VDB50},
      pnm          = {Terrestrische Umwelt},
      pid          = {G:(DE-Juel1)FUEK407},
      shelfmark    = {Remote Sensing / Imaging Science $\&$ Photographic
                      Technology},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000241650600017},
      doi          = {10.1080/01431160500222608},
      url          = {https://juser.fz-juelich.de/record/53329},
}