• DocumentCode
    340606
  • Title

    On-board compression of SAR data through range focusing

  • Author

    Poggi, Giovanni ; Ragozini, Arturo R P ; Verdoliva, Luisa

  • Author_Institution
    Dipt. di Ingegneria Elettronica e delle Telecommun., Naples Univ., Italy
  • Volume
    4
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    2247
  • Abstract
    To reduce the bandwidth of the downlink channel in spaceborne SAR systems some form of data compression is required. Compressing the raw data is very inefficient because these data exhibit little or no correlation; on the other hand, data focusing is too demanding to be carried out on-board. The authors propose to carry out a partial, low-complexity focusing on-board, in order to recover part of the original dependencies, and then to compress the resulting data by means of a variable-rate adaptive vector quantization algorithm. Experiments show a performance improvement of 0.5-0.7 dB over comparable compression techniques
  • Keywords
    adaptive signal processing; data compression; geophysical signal processing; geophysical techniques; radar imaging; radar signal processing; remote sensing by radar; spaceborne radar; synthetic aperture radar; terrain mapping; vector quantisation; SAR; adaptive vector quantization algorithm; data compression; geophysical measurement technique; image compression; image processing; land surface; low-complexity focusing; on-board method; radar imaging; radar remote sensing; radar signal processing; range focusing; spaceborne radar; synthetic aperture radar; terrain mapping; Channel capacity; Encoding; Fluctuations; Focusing; Image coding; Image storage; Noise robustness; Rate-distortion; Telecommunications; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings. IEEE 1999 International
  • Conference_Location
    Hamburg
  • Print_ISBN
    0-7803-5207-6
  • Type

    conf

  • DOI
    10.1109/IGARSS.1999.775091
  • Filename
    775091