• DocumentCode
    3691041
  • Title

    Mutual information upper bond of compressed data using block adaptive quantization algorithm

  • Author

    Haojie Zhang;Jie Chen;Hongcheng Zeng;Jingwen Li;Wei Yang

  • Author_Institution
    School of Electronics and Information Engineering, BeiHang University, Beijing, CHINA, 100191
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    4715
  • Lastpage
    4718
  • Abstract
    Block adaptive quantization (BAQ) is widely utilized for reducing downlink data rate of spaceborne synthetic aperture radar (SAR). The mutual information upper bond of BAQ compressed data is proposed by means of establishing a mathematical mapping relationship between output signal entropy and input signal saturation degree, using information theoretical analysis method. Threshold saturation degree of input signal for BAQ to be effective are also obtained. Simulation SAR raw data are used to verify the correctness of the mapping relationship.
  • Keywords
    "Yttrium","Entropy","Synthetic aperture radar","Data models","Data compression","Standards","Quantization (signal)"
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2015 IEEE International
  • ISSN
    2153-6996
  • Electronic_ISBN
    2153-7003
  • Type

    conf

  • DOI
    10.1109/IGARSS.2015.7326882
  • Filename
    7326882