• DocumentCode
    2017012
  • Title

    Characterization and recognition of radar targets using multiscale edges

  • Author

    Jouny, Ismail

  • Author_Institution
    Dept. of Electr. Eng., Lafayette Coll., Easton, PA, USA
  • Volume
    1
  • fYear
    1993
  • fDate
    27-30 April 1993
  • Firstpage
    289
  • Abstract
    A method for characterizing radar signatures using the wavelet transform is developed based on the principle of scattering centers. Scattering features represented as multiscale edges can be identified based on their Lipshitz regularity coefficients. The extracted features are directly related to target geometry and can be used for target identification. The denoising algorithm developed by S. Mallet el al. (IEE Trans vol. PAMI-14, no.7, p.710-32, July 1992) was also implemented, and the extracted wavelet-based features were used for target classification. The target analysis and recognition technique was tested using experimentally measured radar signals.<>
  • Keywords
    feature extraction; radar theory; wavelet transforms; IEE Trans; Lipshitz regularity coefficients; denoising algorithm; multiscale edges; radar signatures; recognition of radar targets; scattering centers; target classification; wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
  • Conference_Location
    Minneapolis, MN, USA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7402-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.1993.319112
  • Filename
    319112