• DocumentCode
    2715295
  • Title

    Remote Sensing Image Pyramid Model Based on Wavelet Multi-resolution Analysis

  • Author

    Yuwei, Yuan ; Jicheng, Quan ; Jingwen, Wu ; Yu, Liu ; Xiuying, Zhao ; Hongwei, Wang

  • Author_Institution
    Dept. of Specialty, Aviation Univ. of Air Force, Changchun, China
  • fYear
    2012
  • fDate
    11-13 Aug. 2012
  • Firstpage
    170
  • Lastpage
    173
  • Abstract
    With the rapid development of remote sensing technology and application requirements, the volumes of remote sensing image data become more and more large, which brings management of massive image a big test. An improved construction method of remote sensing image pyramid based on wavelet multi-resolution analysis has been researched. Using the multi-resolution analysis and the theory of wavelet decomposition and reconstruction algorithm, on the base of the general way to construct an image pyramid, wavelet decomposition coefficient from different levels are quantified and coded, then stored in different layers of the image pyramid. It is great significance in effective management for vast amounts of remote sensing image. It can reduce the total amounts of data and the data traffic while browsing, and a better progressive transmission effect has been realized.
  • Keywords
    geophysical image processing; image resolution; remote sensing; wavelet transforms; data traffic; remote sensing image data; remote sensing image pyramid model; remote sensing technology; wavelet decomposition coefficient; wavelet multiresolution analysis; wavelet reconstruction algorithm; Algorithm design and analysis; Remote sensing; Spatial resolution; Wavelet analysis; Wavelet transforms; image pyramid; multi-resolution analysis; remote sensing image; wavelet decomposition and reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Service System (CSSS), 2012 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-0721-5
  • Type

    conf

  • DOI
    10.1109/CSSS.2012.50
  • Filename
    6394289