• DocumentCode
    3495091
  • Title

    A study of seismic inverse methods for radar signal processing

  • Author

    Sayedelahl, Aya ; Bording, R. Phillip ; Chouikha, Mohamed ; Zeng, Jianchao

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Howard Univ., Washington, DC
  • fYear
    2005
  • fDate
    1-1 Dec. 2005
  • Lastpage
    62
  • Abstract
    The subject of seismic migration is one of the most varied in seismic data processing. Many algorithms have been developed to perform this task, including Kirchhoff migration, finite-difference reverse time migration, and several types of phase shift migration. The purpose of this study is to investigate the possibility of using seismic inversion algorithms for radar signal processing to improve signal quality and reduce the effects of clutter based on the study of known geophysical inversion algorithms. The finite-difference reverse time migration method was studied in detail since it is one of the most accurate and general depth migration algorithms. It uses the finite difference wave equation modeling as a means of migrating seismic data. Preliminary experiments on the synthetic data generated from different models (a geophysical model and models similar to radar cases) were performed using the reverse-time migration algorithm
  • Keywords
    finite difference methods; geophysical signal processing; ground penetrating radar; radar clutter; radar signal processing; Kirchhoff migration; clutter effect reduction; finite difference wave equation modeling; finite-difference reverse time migration; geophysical inversion algorithms; phase shift migration; radar signal processing; seismic data processing; seismic inverse methods; seismic migration; signal quality improvement; synthetic data generation; Finite difference methods; Image reconstruction; Inverse problems; Partial differential equations; Radar signal processing; Signal processing algorithms; Surface acoustic waves; Surface reconstruction; Surface treatment; Surface waves;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Imagery and Pattern Recognition Workshop, 2005. Proceedings. 34th
  • Conference_Location
    Washington, DC
  • ISSN
    1550-5219
  • Print_ISBN
    0-7695-2479-6
  • Type

    conf

  • DOI
    10.1109/AIPR.2005.12
  • Filename
    1612801