• DocumentCode
    2979599
  • Title

    Different HH-to-VV polarisation models´ performance in retrieving wind speed using Radarsat2 image mode data by CMOD5

  • Author

    Shao, Weizeng ; Guan, Changlong ; Sun, Jian ; Sun, Zhanfeng

  • Author_Institution
    Phys. Oceanogr. Lab., Ocean Univ. of China, Qingdao, China
  • fYear
    2009
  • fDate
    26-30 Oct. 2009
  • Firstpage
    1107
  • Lastpage
    1110
  • Abstract
    As we known, CMOD models were developed for C-band VV-polarized SAR images, and when CMOD family models are applicable for HH-polarized SAR images such as Radarsat2 images it is necessary to convert normalized radar cross section (NRCS) (HH-polarized) to NRCS (VV-polarized) by the HH-to-VV polarisation model. In this study, we discussed different HH-to-VV polarisation models´ performance in retrieving wind speed by CMOD5 from Radarsat2 image mode data. Image data used in this paper was taken in south of China, Hainan Island. One image was taken on condition of low wind speed while another was taken on condition of moderate wind speed. After retrieving wind speed using CMOD5 model, we compared inversion results to observation results under low and moderate wind speed conditions (the observed wind speed is 3.4m/s and 8.7m/s). In conclusion, it is shown that three polarisation models can be applicable by acceptable error standard under different conditions. This study just gives a preliminary understanding of HH-to-VV polarisation models´ performance under different wind speed conditions.
  • Keywords
    polarisation; radar cross-sections; radar imaging; synthetic aperture radar; wind; CMOD5 model; HH-polarized SAR images; HH-to-VV polarisation models; Hainan Island; Radarsat2 image mode data; normalized radar cross section; south China; wind speed; Decision support systems; Image retrieval; Information retrieval; Polarization; Wind speed; CMOD5; NRCS; polarisation model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Synthetic Aperture Radar, 2009. APSAR 2009. 2nd Asian-Pacific Conference on
  • Conference_Location
    Xian, Shanxi
  • Print_ISBN
    978-1-4244-2731-4
  • Electronic_ISBN
    978-1-4244-2732-1
  • Type

    conf

  • DOI
    10.1109/APSAR.2009.5374106
  • Filename
    5374106