• DocumentCode
    576577
  • Title

    Matlab based SAR signal processor for educational use

  • Author

    Deo, Rinki ; Jamod, Ankit ; Gopu, V. Deepika Rani ; Rao, Y.S.

  • Author_Institution
    Centre of Studies in Resources Eng., Indian Inst. of Technol. Bombay, Mumbai, India
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    5318
  • Lastpage
    5321
  • Abstract
    This paper is an attempt to help the beginners and the students to learn the basics of the SAR signal processing in a simple and easy way using MATLAB. The signal processing of SAR data is very important for generating various data products for different applications and analysis of land features. The SAR raw data for signal processing is a two dimensional array which contain sampled echoes in the complex form. Pulse compression techniques are used to compress energy of echoes and thereby increasing the resolution of SAR. To obtain the final image the range compression, Doppler centroid frequency estimation, range cell migration correction, azimuth compression etc. are implemented in such a way that any user can understand very easily. Advantage of the developed code in MATLAB is that it does not need a vast programming knowledge to be able to customize it. The developed code will be available to all users for educational and training purposes.
  • Keywords
    computer aided instruction; electrical engineering education; feature extraction; image coding; image resolution; pulse compression; radar computing; radar imaging; radar resolution; synthetic aperture radar; Doppler centroid frequency estimation; Matlab-based SAR signal processor; SAR raw data; SAR resolution; azimuth compression; complex form; data products; echoes energy compress; educational purposes; educational use; image compression; land features analysis; programming knowledge; pulse compression techniques; range cell migration correction; training purposes; two dimensional array; CSA; RCMC; RDA; chirp; pulse compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352407
  • Filename
    6352407