• DocumentCode
    1489128
  • Title

    A New Method for Correcting ScanSAR Scalloping Using Forests and Inter-SCAN Banding Employing Dynamic Filtering

  • Author

    Shimada, Masanobu

  • Author_Institution
    Earth Obs. Res. Center, Japan Aerosp. Exploration Agency (JAXA), Tsukuba, Japan
  • Volume
    47
  • Issue
    12
  • fYear
    2009
  • Firstpage
    3933
  • Lastpage
    3942
  • Abstract
    The Scanning Synthetic Aperture Radar (ScanSAR) is very useful for Earth observation because of its wider imaging swath and shorter revisit time. However, ScanSAR is sometimes affected by the following three artifacts: (1) scalloping, which often appears as repeating weak azimuth stripes at both edges of the focused burst image; (2) azimuth ambiguity (i.e., a form of ghosting that appears over the adjacent uniform area when the pulse repetition frequency is below the Doppler bandwidth); and (3) radiometric discontinuity (i.e., banding) between two adjacent scans. This paper proposes three methods to correct these artifacts, which are, specifically, the proposal for scalloping correction using Amazon Rainforest data, band limitation, and the correction for the inter SCAN banding using the dynamic gain correction algorithm. Several corrected sample data sets of the Phased-Array L-band SAR onboard the Advanced Land-Observing Satellite are presented to demonstrate the validity of the proposed methods.
  • Keywords
    geophysical techniques; geophysics computing; image processing; remote sensing by radar; synthetic aperture radar; vegetation; Advanced Land-Observing Satellite; Amazon Rainforest data; Doppler bandwidth; Earth observation; Phased-Array L-band SAR; ScanSAR scalloping correction; Scanning Synthetic Aperture Radar; artifacts correction; azimuth stripes; band limitation; dynamic filtering; dynamic gain correction algorithm; focused burst image edges; forests; ghosting; inter-SCAN banding; pulse repetition frequency; radiometric discontinuity; Advanced Land Observing Satellite (ALOS); Amazon data; Phased-Array L-band Synthetic Aperture Radar (PALSAR); Scanning SAR (ScanSAR); banding; scalloping; signal truncation;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2009.2027596
  • Filename
    5272352