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 :
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