Performance comparison of total variation minimization and group sparse reconstructions for extended target imaging in multilayered dielectric media

2018 ◽  
Author(s):  
Fauzia Ahmad ◽  
Wenji Zhang ◽  
Ahmad Hoorfar
Keyword(s):  
Total Variation ◽  
Performance Comparison ◽  
Total Variation Minimization ◽  
Dielectric Media ◽  
Extended Target ◽  
Target Imaging

scholarly journals Performance Evaluation of Group Sparse Reconstruction and Total Variation Minimization for Target Imaging in Stratified Subsurface Media

Electronics ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 1245 ◽  
Author(s):  
Fauzia Ahmad ◽  
Ahmad Hoorfar ◽  
Wenji Zhang
Keyword(s):  
Total Variation ◽  
Sparse Reconstruction ◽  
L1 Norm ◽  
Total Variation Minimization ◽  
Electromagnetic Data ◽  
Norm Minimization ◽  
Reconstruction Methods ◽  
Reconstruction Performance ◽  
Target Imaging ◽  
Quantitative Performance

Sparse reconstruction methods have been successfully applied for efficient radar imaging of targets embedded in stratified dielectric subsurface media. Recently, a total variation minimization (TVM) based approach was shown to provide superior image reconstruction performance over standard L1-norm minimization-based method, especially in case of non-point-like targets. Alternatively, group sparse reconstruction (GSR) schemes can also be employed to account for embedded target extent. In this paper, we provide qualitative and quantitative performance evaluations of TVM and GSR schemes for efficient and reliable target imaging in stratified subsurface media. Using numerical electromagnetic data of targets buried in the ground, we demonstrate that GSR and TVM provide comparable reconstruction performance qualitatively, with GSR exhibiting a slight superiority over TVM quantitatively, albeit at the expense of less flexibility in regularization parameters.

scholarly journals MPTV: Matching Pursuit-Based Total Variation Minimization for Image Deconvolution

2019 ◽  
Vol 28 (4) ◽  
pp. 1851-1865 ◽  
Author(s):  
Dong Gong ◽  
Mingkui Tan ◽  
Qinfeng Shi ◽  
Anton van den Hengel ◽  
Yanning Zhang
Keyword(s):  
Total Variation ◽  
Matching Pursuit ◽  
Image Deconvolution ◽  
Total Variation Minimization
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