• DocumentCode
    2784255
  • Title

    Optimal block quantization for SAR data

  • Author

    Guccione, Pietro ; Cafforio, Ciro ; Guarnieri, Andrea Monti

  • Author_Institution
    Dipt. di Elettrotec. ed Elettron., Politec. di Bari, Bari, Italy
  • fYear
    2010
  • fDate
    10-14 May 2010
  • Firstpage
    348
  • Lastpage
    353
  • Abstract
    A variable bit rate coding scheme designed for new generation SAR satellites is presented. This coding is based on previous schemes of Block Adaptive Quantizer (BAQ) and is intended as a possible improvement over Sentinel-1 FDBAQ. In this project, the number of quantizers is considered a design choice and the optimization is carried out looking for a set of reflectivity classes in which partition all the imaged areas on the Earth. Superior performances to those envisaged for Sentinel-1 FDBAQ are obtained in terms of SNR vs. average rate. Results come from simulations based on a 16-bit mosaic of C band reflectivity obtained by ESRIN from ENVISAT GM data and Wien University database of ENVISAT WSM radar reflectivity.
  • Keywords
    optimisation; quantisation (signal); radar imaging; synthetic aperture radar; ENVISAT GM data; ENVISAT WSM radar reflectivity; SAR data; SAR satellites; SNR; Sentinel-1 FDBAQ; Wien University database; bit rate coding scheme; block adaptive quantizer; earth images; optimal block quantization; optimization; Bit rate; Channel capacity; Design optimization; Image quality; Phase noise; Quantization; Reflectivity; Satellites; Signal to noise ratio; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2010 IEEE
  • Conference_Location
    Washington, DC
  • ISSN
    1097-5659
  • Print_ISBN
    978-1-4244-5811-0
  • Type

    conf

  • DOI
    10.1109/RADAR.2010.5494597
  • Filename
    5494597