Non-destructive evaluation through a sparse reconstruction strategy

In this paper, the retrieval of sparse defects within known two-dimensional structures is addressed. A Bayesian Compressive Sensing technique has been developed to determine the differential induced currents thanks to a proper definition of an inhomogeneous Green's function enabled from the a-priori knowledge of the unperturbed structure. Successively, a contrast source inversion method has been applied in order to reconstruct the dielectric features within the estimated region of the defect.

[1]  M D Migliore,et al.  A Compressed Sensing Approach for Array Diagnosis From a Small Set of Near-Field Measurements , 2011, IEEE Transactions on Antennas and Propagation.

[2]  A. Massa,et al.  Microwave Imaging Within the First-Order Born Approximation by Means of the Contrast-Field Bayesian Compressive Sensing , 2012, IEEE Transactions on Antennas and Propagation.

[3]  Michael E. Tipping.  Sparse Bayesian Learning and the Relevance Vector Machine , 2001, J. Mach. Learn. Res..

[4]  Federico Viani,et al.  MT – BCS-Based Microwave Imaging Approach Through Minimum-Norm Current Expansion , 2013, IEEE Transactions on Antennas and Propagation.

[5]  Xin Liu,et al.  Electromagnetic Imaging Methods for Nondestructive Evaluation Applications , 2011, Sensors.

[6]  David B. Dunson,et al.  Multitask Compressive Sensing , 2009, IEEE Transactions on Signal Processing.

[7]  Qing Huo Liu,et al.  Three-dimensional nonlinear image reconstruction for microwave biomedical imaging , 2004, IEEE Transactions on Biomedical Engineering.

[8]  Paolo Rocca,et al.  A Bayesian-Compressive-Sampling-Based Inversion for Imaging Sparse Scatterers , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[9]  P. Rocca,et al.  Reliable Diagnosis of Large Linear Arrays—A Bayesian Compressive Sensing Approach , 2012, IEEE Transactions on Antennas and Propagation.

[10]  A Massa,et al.  Bayesian compressive optical imaging within the Rytov approximation. , 2012, Optics letters.

[11]  A. Massa,et al.  Improved microwave imaging procedure for nondestructive evaluations of two-dimensional structures , 2004, IEEE Transactions on Antennas and Propagation.

[12]  Reza Zoughi,et al.  Microwave non-destructive testing and evaluation , 2000 .

[13]  J.C. Bolomey,et al.  Microwave imaging techniques for biomedical applications , 1999, IMTC/99. Proceedings of the 16th IEEE Instrumentation and Measurement Technology Conference (Cat. No.99CH36309).

[14]  Andrea Massa,et al.  Imaging sparse metallic cylinders through a local shape function Bayesian compressive sensing approach. , 2013, Journal of the Optical Society of America. A, Optics, image science, and vision.

[15]  Lawrence Carin,et al.  Bayesian Compressive Sensing , 2008, IEEE Transactions on Signal Processing.

[16]  Federico Viani,et al.  Sparse scatterers imaging through approximated multitask compressive sensing strategies , 2013 .

[17]  Paolo Rocca,et al.  Bayesian Compressive Sensing Approaches for the Reconstruction of Two-Dimensional Sparse Scatterers Under TE Illuminations , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[18]  A. Massa,et al.  Multicrack Detection in Two-Dimensional Structures by Means of GA-Based Strategies , 2007, IEEE Transactions on Antennas and Propagation.