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
Link To Document