• DocumentCode
    2146847
  • Title

    Investigation of Dynamic Reconstruction Methods for Remote Sensing Image Pyramids Based on Multi-resolution Characteristic of Wavelet Transformation

  • Author

    Yang, Jingyu ; Ji, Song ; Zhang, Yongsheng ; Gong, Hui ; Liu, Zhaohua ; Guo, JianPing

  • Author_Institution
    Inst. of Surveying & Mapping, Zhengzhou
  • Volume
    1
  • fYear
    2008
  • fDate
    27-30 May 2008
  • Firstpage
    656
  • Lastpage
    660
  • Abstract
    Base on multi-resolution characteristic of wavelet transformation, a dynamic reconstruction method of image pyramids for remote sensing imagery is proposed in this paper. The method can solve the data redundant problems caused by traditional reconstruction methods, for which the correlation characteristic of the data between different pyramid layers is not used. It can effectively reduce the amount of data storage and network data transmission, and form a stream data transferring mode. Therefore, it is fairly appropriate for the network distributing of remote sensing imagery. Systematic experiments were done for this method. And compared with traditional methods, the response efficiency is improved significantly, which verifies the feasibility and superiority of the method in the storage and transmission of remote sensing imagery.
  • Keywords
    correlation methods; geophysical signal processing; image reconstruction; image resolution; remote sensing; wavelet transforms; correlation characteristic; dynamic remote sensing image pyramid reconstruction method; multi resolution characteristic; wavelet transformation; Data communication; Frequency; Image resolution; Image storage; Meteorology; Multiresolution analysis; Reconstruction algorithms; Remote sensing; Spatial resolution; Streaming media; Image Pyramids; Stream Transferring; Wavelet Transformation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2008. CISP '08. Congress on
  • Conference_Location
    Sanya, Hainan
  • Print_ISBN
    978-0-7695-3119-9
  • Type

    conf

  • DOI
    10.1109/CISP.2008.284
  • Filename
    4566237