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文章基本信息

  • 标题:Generalized Model for Remotely Sensed Data Pixel-Level Fusion
  • 本地全文:下载
  • 作者:Zhang Jixian ; Yang Jinghui ; Li Haitao
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2008
  • 卷号:XXXVII Part B7
  • 页码:1051-1056
  • 出版社:Copernicus Publications
  • 摘要:A generalized model characterizing most remotely sensed data pixel-level fusion techniques is very important for theoretical analysis and applications. This paper focuses on the establishment of a generalized model for most data fusion methods, which is helpful to quantitatively analyze and quickly implement different data fusion techniques. As an example, the PCA fusion method is selected to demonstrate the availability of the generalized model through the generalized model based implementation
  • 关键词:Remotely Sensed Data; Fusion; Generalized Model; Implementation; PCA
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