IEICE Transactions on Communications
Online ISSN : 1745-1345
Print ISSN : 0916-8516
Regular Section
SAR Tomography Imaging Using Sparse Bayesian Learning
Rui MINYating HUYiming PIZongjie CAO
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2012 Volume E95.B Issue 1 Pages 354-357

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Abstract

Tomo-SAR imaging with sparse baselines can be formulated as a sparse signal recovery problem, which suggests the use of the Compressive Sensing (CS) method. In this paper, a novel Tomo-SAR imaging approach based on Sparse Bayesian Learning (SBL) is presented to obtain super-resolution in elevation direction and is validated by simulation results.

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© 2012 The Institute of Electronics, Information and Communication Engineers
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