• DocumentCode
    135428
  • Title

    Spatial spectrum pattern estimation based on the DEDR-TV extended approach for fractional SAR imagery enhancement

  • Author

    Torres, David G. ; Tuxpan, J. ; Yanez, Israel

  • Author_Institution
    Dept. of Electr. Eng., Center for Adv. Res. & Educ. of I.P.N, Guadalajara, Mexico
  • fYear
    2014
  • fDate
    26-28 Feb. 2014
  • Firstpage
    7
  • Lastpage
    13
  • Abstract
    This work is based on the robust unified approach for fractional synthetic aperture radar (SAR) imagery feature enhancement via the descriptive experiment design regularization-total variation (DEDR-TV) technique. We present a new DEDR-TV methodology behavioral study, modifying the weighting factors balanced scheme, with the objetive of maximizing the isotropic and anisotropic characteristics used for noise filtering and feature enhancement of the remotely sensed scene. This innovation extends the regularized solution space acquired from the DEDR-TV framework in the ℓ2-ℓ1 norm, with emphasis on the user controllable degrees of freedom.
  • Keywords
    image enhancement; radar imaging; synthetic aperture radar; DEDR-TV extended approach; DEDR-TV technique; anisotropic characteristics; descriptive experiment design regularization-total variation; fractional SAR imagery enhancement; fractional synthetic aperture radar imagery feature enhancement; noise filtering; remotely sensed scene; spatial spectrum pattern estimation; weighting factors balanced scheme; Estimation; Image reconstruction; Imaging; Noise; Radar imaging; Remote sensing; Synthetic aperture radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Communications and Computers (CONIELECOMP), 2014 International Conference on
  • Conference_Location
    Cholula
  • Print_ISBN
    978-1-4799-3468-3
  • Type

    conf

  • DOI
    10.1109/CONIELECOMP.2014.6808560
  • Filename
    6808560