Name
Abstract | ||
|---|---|---|
In this paper, we present a new framework for high-level processing of time series images, with particular reference to Sentinel-1 data. The proposed methodology has the goal of enhancing the interpretation of SAR imagery through the production of physical-based RGB composites, which are particularly suited for being easily interpreted by the human photo-interpreter, lowering the expertise level required for managing SAR data. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/IGARSS.2015.7326695 | IGARSS |
Field | DocType | ISSN |
Computer vision,Time series,Synthetic aperture radar,Computer science,Remote sensing,Coherence (physics),Artificial intelligence,RGB color model | Conference | 2153-6996 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Donato Amitrano | 1 | 37 | 8.66 |
| Francesca Cecinati | 2 | 0 | 0.68 |
| Gerardo Di Martino | 3 | 96 | 24.43 |
| Antonio Iodice | 4 | 453 | 73.07 |
| Daniele Riccio | 5 | 781 | 118.99 |
| Giuseppe Ruello | 6 | 164 | 36.57 |