• DocumentCode
    3350077
  • Title

    Spatial resolution improvement using a SPECAN approach in SAR data processing

  • Author

    Mesnager, G. ; Castanie, F. ; Lambert-Nebout, C.

  • Author_Institution
    ENSEEIHT, Toulouse, France
  • Volume
    3
  • fYear
    34881
  • fDate
    10-14 Jul1995
  • Firstpage
    2295
  • Abstract
    As part of its research and technology activities, the French space agency CNES studies a spaceborne SAR Earth observation system to provide complementary information with optical sensors. A major problem encountered is the high data flow to be transmitted from satellite to Earth in the available communication channels. The SPECAN concept (1985), combined with parametric spectral estimation, S.M. Kay (1987), provides a way to process the data on board the satellite. The consequent data compression coefficient obtained with such a method has been shown to be of the order of 14 to 16. In this paper, the authors show that this original method of estimation offers high spatial azimuth resolution. The resolution obtained depends on the local SNR and the number of coefficient used in the modeling operations
  • Keywords
    data compression; geophysical signal processing; geophysical techniques; image coding; image enhancement; image resolution; radar imaging; radar signal processing; remote sensing by radar; spaceborne radar; synthetic aperture radar; SAR imaging; SPECAN; data compression; data processing; geophysical measurement technique; high spatial azimuth resolution; image coding; image enhancement; image resolution; land surface; on board signal processing; parametric spectral estimation; radar remote sensing; spaceborne radar; spatial resolution improvement; synthetic aperture radar; terrain mapping; Adaptive optics; Azimuth; Data processing; Earth; Optical sensors; Satellites; Space technology; Space vehicles; Spatial resolution; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
  • Conference_Location
    Firenze
  • Print_ISBN
    0-7803-2567-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1995.524175
  • Filename
    524175