• DocumentCode
    62900
  • Title

    TOPS-Mode Raw Data Processing Using Chirp Scaling Algorithm

  • Author

    Wei Xu ; Pingping Huang ; Wang, Ruiqi ; Yunkai Deng ; Youchun Lu

  • Author_Institution
    Inst. of Electron., Beijing, China
  • Volume
    7
  • Issue
    1
  • fYear
    2014
  • fDate
    Jan. 2014
  • Firstpage
    235
  • Lastpage
    246
  • Abstract
    This paper presents four imaging approaches for terrain observation by progressive scans (TOPS)-mode SAR focusing, all of which take advantage of modified chirp scaling (CS) algorithms according to echo properties in TOPS. After adopting different azimuth preprocessing steps to resolve the aliased Doppler spectra, the resulting TOPS raw data can be handled by a classic CS processor. Unfortunately, the resulting images would appear back folding, if only a standard stripmap processor is adopted. To avoid or resolve azimuth back folding in the final focused TOPS SAR images, four modified CS algorithms are presented according to special properties of the slow time-frequency diagram in TOPS. Imaging results on point targets validate the presented imaging approaches.
  • Keywords
    radar imaging; remote sensing by radar; synthetic aperture radar; terrain mapping; TOPS SAR images; TOPS echo properties; TOPS-mode SAR focusing; TOPS-mode raw data processing; aliased Doppler spectra; classic chirp scaling processor; modified chirp scaling algorithm; progressive scans; standard stripmap processor; terrain observation; time-frequency diagram; Azimuth; Bandwidth; Chirp; Doppler effect; Image resolution; Imaging; Synthetic aperture radar; Aliasing; chirp scaling; spectrum analysis (SPECAN); synthetic aperture radar (SAR); terrain observation by progressive scans (TOPS);
  • fLanguage
    English
  • Journal_Title
    Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    1939-1404
  • Type

    jour

  • DOI
    10.1109/JSTARS.2013.2260134
  • Filename
    6516607