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文章基本信息

  • 标题:Theoretical frameworks of remote sensing systems based on compressive sensing
  • 本地全文:下载
  • 作者:Jiying Liu ; Jubo Zhu ; Fengxia Yan
  • 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:2010
  • 卷号:XXXVIII - Part 7A
  • 页码:77-81
  • 出版社:Copernicus Publications
  • 摘要:As an application of Compressive Sensing (CS) in remote sensing area, the theoretical frameworks of SAR and optical imaging system based on CS are investigated. The processes of data acquisition are mathematically described. After that the sparse representation of images corresponding to the two systems are also presented. Finally, the spare recovery is employed to retrieve images. Numerical simulations validated the feasibility of such imaging systems
  • 关键词:Sampling; Mathematics; Optical; SAR; Representation
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