• DocumentCode
    2451750
  • Title

    Quality assessment of coherence between 35-day and tandem modes in ERS-1/2 interferometric studies

  • Author

    Stussi, Nicolas ; Liew, Soo Chin ; Singh, Kuldip ; Kwoh, Leong Keong ; Lim, Hock

  • Author_Institution
    Centre for Remote Imaging, Sensing & Process., Nat. Univ. of Singapore, Singapore
  • Volume
    4
  • fYear
    1997
  • fDate
    3-8 Aug 1997
  • Firstpage
    1548
  • Abstract
    The authors assess the quality of the coherence component γ derived from both tandem and repeat pass interferometric pairs. They first analyse the behavior of the coherence for various window sizes (number of looks). Results show that coherence is very sensitive to window size. A compromise between window size and resolution have to be found in order to better estimate the coherence. They present the first results of simulations using a simple statistical model for the coherence in order to evaluate the noise. Moreover, they investigate the suitability of 35-day repeat pass for land use classification. Repeat pass interferometry (35 days) is not appropriate for this application. Nevertheless, a combination of γ derived from tandem pair, and the Δγ obtained from both tandem and repeat pass pairs should give useful information for land-use classification
  • Keywords
    geophysical signal processing; geophysical techniques; image classification; remote sensing by radar; spaceborne radar; synthetic aperture radar; 35-day mode; ERS-1; ERS-2; InSAR; SAR; coherence; geophysical measurement technique; image classification; interferometric SAR; land surface; quality assessment; radar imaging; radar remote sensing; repeat pass interferometric pair; spaceborne radar; statistical model; synthetic aperture radar; tandem mode; terrain mapping; window size; Azimuth; Coherence; Decorrelation; Histograms; Image analysis; Interferometry; Oceans; Pixel; Quality assessment; Uniform resource locators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
  • Print_ISBN
    0-7803-3836-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.1997.608938
  • Filename
    608938