Name
Abstract | ||
|---|---|---|
Imaging methods that are able to detect targets located behind a wall and monitor their motion have recently gained an increasing attention. To pursue this aim, we propose a qualitative inverse scattering approach based on the linear sampling method, which is a computationally effective nonapproximated shape-reconstruction strategy. In particular, we describe the formulation of the method for the through-the-wall scenario for both the case of static and dynamic targets. The results of a numerical analysis are reported as a preliminary assessment of the achievable performances. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/LGRS.2010.2045473 | Geoscience and Remote Sensing Letters, IEEE |
Keywords | Field | DocType |
image reconstruction,numerical analysis,object detection,shape recognition,computationally effective nonapproximated shape-reconstruction strategy,dynamic targets,linear sampling method,numerical analysis,qualitative inverse scattering method,static targets,target detection,through-the-wall imaging,Linear sampling method (LSM),microwave tomography,motion tracking,through-the-wall imaging (TWI) | Iterative reconstruction,Computer vision,Object detection,Radar imaging,Artificial intelligence,Sampling (statistics),Inverse problem,Numerical analysis,Mathematics,Inverse scattering problem,Match moving | Journal |
Volume | Issue | ISSN |
7 | 4 | 1545-598X |
Citations | PageRank | References |
3 | 0.45 | 10 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ilaria Catapano | 1 | 105 | 16.35 |
| Lorenzo Crocco | 2 | 97 | 15.77 |