Title | ||
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A Novel Single-Step Approach for Self-Coherent Tomography Using Semidefinite Relaxation |
Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2014 | 10.1109/LGRS.2013.2248117 | IEEE Geosci. Remote Sensing Lett. |
Keywords | Field | DocType |
optical tomography,inverse scattering,diffraction tomography,phase retrieval,convex optimization problem,semidefinite relaxation,single-step approach,image retrieval,state-of-the-art mathematics,convex optimization,semidefinite programming (sdp),relaxation,self-coherent tomography,wireless tomography | Image retrieval,Artificial intelligence,Optical tomography,Inverse scattering problem,Computer vision,Mathematical optimization,Diffraction tomography,Phase retrieval,Algorithm,Tomography,Solver,Convex optimization,Mathematics | Journal |
Volume | Issue | ISSN |
11 | 1 | 1545-598X |
Citations | PageRank | References |
3 | 0.48 | 6 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhen Hu | 1 | 151 | 12.04 |
Robert Caiming Qiu | 2 | 857 | 88.17 |
James P. Browning | 3 | 21 | 2.47 |
Michael C. Wicks | 4 | 119 | 14.06 |