• DocumentCode
    732165
  • Title

    Onboard SPIHT-based and textural-dependent data compression of one-look SAR images

  • Author

    Alpatov, Boris A. ; Bekhtin, Yury S.

  • Author_Institution
    Ryazan State Radio Eng. Univ., Ryazan, Russia
  • fYear
    2015
  • fDate
    14-18 June 2015
  • Firstpage
    151
  • Lastpage
    154
  • Abstract
    The suggested SPIHT-based (Set Partitioning in Hierarchical Trees) compression method for degraded one-look SAR images is aimed to be realized in onboard radar hardware to improve quality of on-ground registered image. The main idea of the method is to select two segments in the SAR image: with relatively uncorrupted data (after some processing) and data with fully developed speckle. Then, these two sets of points are encoded separately forming two bit streams as outputs of the SPIHT algorithm. The results of modeling have shown the advantage of the textural-dependent data compression in comparing with some famous compression and despeckling procedures under PSNR and SSIM criteria.
  • Keywords
    data compression; image coding; image denoising; image registration; image texture; radar imaging; set theory; synthetic aperture radar; trees (mathematics); PSNR criteria; SSIM criteria; degraded one-look SAR images; fully developed speckle; on-ground registered image quality improvement; onboard SPIHT-based data compression; onboard textural-dependent data compression; relatively uncorrupted data; set partitioning-in-hierarchical trees; synthetic aperture radar imagery; Bit rate; Image coding; Noise; Speckle; Streaming media; Synthetic aperture radar; Wavelet transforms; SAR; SPIHT; image compression; speckle;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Embedded Computing (MECO), 2015 4th Mediterranean Conference on
  • Conference_Location
    Budva
  • Print_ISBN
    978-1-4799-8999-7
  • Type

    conf

  • DOI
    10.1109/MECO.2015.7181889
  • Filename
    7181889