Name
Title | ||
|---|---|---|
3d Imaging For Underfoliage Targets Using L-Band Multibaseline Polinsar Data And Sparse Estimation Methods |
Abstract | ||
|---|---|---|
SAR imaging of concealed targets beneath the canopies has to face a complex mixture of diverse scattering mechanisms. To characterize this complex scattering environment, nonparametric tomographic estimators are more robust to focusing artefacts but limited in resolution. Parametric tomographic estimators provide better vertical resolution but fail to adequately characterize continuously distributed volumetric scatterers such as forest canopies. To overcome these limitations, this paper addresses a new wavelet-based sparse estimation method for 3D imaging and characterization for underfoliage objects. The effectiveness of this new approach is demonstrated by using L-band Multi-Baseline PolInSAR Data over Dornstetten, Germany. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/IGARSS.2016.7729373 | 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) |
Keywords | Field | DocType |
SAR tomography, underfoliage, sparse estimation | Computer vision,L band,Computer science,Remote sensing,Tomography,Nonparametric statistics,Parametric statistics,Artificial intelligence,Scattering,Merge (version control),Estimator,Wavelet | Conference |
ISSN | Citations | PageRank |
2153-6996 | 0 | 0.34 |
References | Authors | |
2 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yue Huang | 1 | 50 | 7.48 |
| Jacques Lévy Véhel | 2 | 20 | 7.40 |
| Laurent Ferro-Famil | 3 | 289 | 45.54 |
| Andreas Reigber | 4 | 670 | 70.53 |