Name
Abstract | ||
|---|---|---|
Solving the mixture problem in remotely sensed hyperspectral images remains a challenging task. In particular, solutions are needed in order to obtain a response for applications with real-time constraints. In the last decade, several efforts have been developed, many of them using graphics processing units (GPUs) and focused on the exploitation of spectral information alone. However, a few spectr... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LGRS.2018.2810600 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Hyperspectral imaging,Multicore processing,Real-time systems,Program processors,Mixture models | Kernel (linear algebra),Graphics,Computer vision,Xeon Phi,Parallel computing,Field-programmable gate array,Hyperspectral imaging,Application programming interface,Artificial intelligence,Coprocessor,Multi-core processor,Mathematics | Journal |
Volume | Issue | ISSN |
15 | 5 | 1545-598X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sergio Bernabe | 1 | 135 | 12.45 |
| Luis-Ignacio Jimenez | 2 | 18 | 5.54 |
| Carlos Garcia | 3 | 65 | 9.95 |
| Javier Plaza | 4 | 561 | 58.04 |
| Antonio Plaza | 5 | 3475 | 262.63 |