• DocumentCode
    353466
  • Title

    Automatic weights determination by NLSSQP method in phase unwrapping

  • Author

    Lu, Tao ; Oe, Shunichim ; Murai, Himshi

  • Author_Institution
    Dept. of Inf. Sci. & Intelligent Syst., Tokushima Univ., Japan
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    782
  • Abstract
    This paper presents a possible automatic approach to back analyze the weights by incorporating phase unwrapping program into a minimization method NLSSQP. The proposed approach is illustrated through two simulative examples corrupted by uniformly distributed noise and scattered noise. By introduction of real-valued weights, which are computed by NLSSQP method, unwrapped phases are converged to correct solution. Real-valued weights obtained in this approach turned out to be superior to customary binary-valued weights when images are corrupted by noise at the edges or corners
  • Keywords
    geophysical techniques; radar theory; remote sensing by radar; synthetic aperture radar; terrain mapping; topography (Earth); InSAR; NLSSQP method; SAR; automatic approach; automatic weights determination; back analyze; geophysical measurement technique; land surface; minimization method; phase unwrapping; radar remote sensing; real-valued weight; scattered noise; synthetic aperture radar; terrain mapping; uniformly distributed noise; unwrapped phase; Difference equations; Information analysis; Information management; Information science; Intelligent systems; Least squares methods; Minimization methods; Optimization methods; Phase noise; Synthetic aperture radar interferometry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-6359-0
  • Type

    conf

  • DOI
    10.1109/IGARSS.2000.861702
  • Filename
    861702