Name
Abstract | ||
|---|---|---|
One of the main objectives of the upcoming space missions, such as Tandem-L and BIOMASS, is to map, on a global scale, the forest structure by means of synthetic aperture radar (SAR) tomography (TomoSAR). On one hand, the number of baselines is constrained to the revisit time that avoids temporal decorrelation issues. On the other hand, enhanced resolution is desired, since the forest structure is... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LGRS.2018.2858571 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Synthetic aperture radar,Tomography,Forestry,Inverse problems,Maximum likelihood estimation,Signal resolution,Apertures | Aperture,Computer vision,Decorrelation,Synthetic aperture radar,Maxima and minima,Tomography,White noise,Parametric statistics,Inverse problem,Artificial intelligence,Mathematics | Journal |
Volume | Issue | ISSN |
15 | 11 | 1545-598X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gustavo D. Martín del Campo-Becerra | 1 | 0 | 0.34 |
| Matteo Nannini | 2 | 143 | 15.30 |
| Andreas Reigber | 3 | 670 | 70.53 |