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@ARTICLE{Canty:1742,
      author       = {Canty, M. J. and Nielsen, A. A.},
      title        = {{A}utomatic radiometric normalization of multitemporal
                      satellite imagery with the iteratively ie-weighted {MAD}
                      transformation},
      journal      = {Remote sensing of environment},
      volume       = {112},
      issn         = {0034-4257},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {PreJuSER-1742},
      pages        = {1025 - 1036},
      year         = {2008},
      note         = {Record converted from VDB: 12.11.2012},
      abstract     = {A recently proposed method for automatic radiometric
                      normalization of multi- and hyperspectral imagery based on
                      the invariance property of the Multivariate Alteration
                      Detection (MAD) transfortnation and orthogonal linear
                      regression is extended by using an iterative re-weighting
                      scheme involving no-change probabilities. The procedure is
                      first investigated with partly artificial data and then
                      applied to multitemporal, multispectral satellite imagery.
                      Substantial improvement over the previous method is obtained
                      for scenes which exhibit a high proportion of change. (C)
                      2007 Elsevier Inc. All rights reserved.},
      keywords     = {J (WoSType)},
      cin          = {ICG-4},
      ddc          = {050},
      cid          = {I:(DE-Juel1)VDB793},
      pnm          = {Terrestrische Umwelt},
      pid          = {G:(DE-Juel1)FUEK407},
      shelfmark    = {Environmental Sciences / Remote Sensing / Imaging Science
                      $\&$ Photographic Technology},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000254443700032},
      doi          = {10.1016/j.rse.2007.07.013},
      url          = {https://juser.fz-juelich.de/record/1742},
}