Name
Abstract | ||
|---|---|---|
3D microwave tomography is an ill-posed and nonlinear inverse problem whose reconstruction performances may be impaired from the complexity of the scenario to be considered in the real world applications. The joint adoption of convenient regularization schemes and a suitable rewriting and linearization of the pertinent scattering model can allow to achieve satisfactory solutions in many cases of practical interest. In this communication, an innovative inversion approach which takes definite advantage from the joint use of the linearized contrast source-extended Born model (CS-EB), and from a Markov random field (MRF) based regularization scheme is proposed. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/IGARSS.2009.5417898 | Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009 |
Keywords | Field | DocType |
Markov processes,geophysical techniques,inverse problems,microwave technology,tomography,3D Microwave tomography,Markov random fields,contrast source-extended Born model,nonlinear inverse problem,pertinent scattering model,reconstruction performance,regularization scheme,Contrast Source-Extended Born,Linear inversion,Markov Random Field based regularization | Nonlinear system,Markov process,Computer science,Markov random field,Regularization (mathematics),Artificial intelligence,Inverse problem,Linearization,Computer vision,Mathematical optimization,Random field,Markov chain,Algorithm | Conference |
Volume | ISSN | ISBN |
3 | 2153-6996 | 978-1-4244-3395-7 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Roberta Autieri | 1 | 0 | 0.34 |
| Michele D'Urso | 2 | 4 | 0.92 |
| Tommaso Isernia | 3 | 0 | 1.01 |
| Vito Pascazio | 4 | 84 | 9.37 |