• DocumentCode
    1683
  • Title

    A Novel Single-Step Approach for Self-Coherent Tomography Using Semidefinite Relaxation

  • Author

    Zhen Hu ; Qiu, Robert C. ; Browning, James Paul ; Wicks, Michael

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Tennessee Technol. Univ., Cookeville, TN, USA
  • Volume
    11
  • Issue
    1
  • fYear
    2014
  • fDate
    Jan. 2014
  • Firstpage
    114
  • Lastpage
    118
  • Abstract
    This letter presents a novel single-step approach for self-coherent tomography using semidefinite relaxation. Phase retrieval for scattered fields is not required. The general solver can be used to solve the corresponding convex optimization problem and image the target. Both man-made and experimental data is exploited to demonstrate the performance of the proposed approach. The imaging results illustrate the benefit of bringing the state-of-the-art mathematics to inverse scattering or diffraction tomography.
  • Keywords
    image retrieval; optical tomography; convex optimization problem; diffraction tomography; inverse scattering; phase retrieval; self-coherent tomography; semidefinite relaxation; single-step approach; state-of-the-art mathematics; Convex optimization; inverse scattering; phase retrieval; relaxation; self-coherent tomography; semidefinite programming (SDP); wireless tomography;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2013.2248117
  • Filename
    6490334