Name
Abstract | ||
|---|---|---|
Automatic retrieval and interpretation of satellite images is critical for managing the enormous volume of environmental remote sensing data available today. It is particularly useful in oceanography and climate studies for examination of the spatio-temporal evolution of mesoscalar ocean structures appearing in the satellite images taken by visible, infrared, and radar sensors. This is because the... |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/TGRS.2010.2050067 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Oceans,Filters,Satellite broadcasting,Infrared image sensors,Bayesian methods,Information retrieval,Image retrieval,Environmental management,Remote sensing,Radar imaging | Radar,Satellite,Feature selection,Sea surface temperature,Remote sensing,Mesoscale meteorology,Advanced very-high-resolution radiometer,Feature extraction,Bayesian network,Mathematics | Journal |
Volume | Issue | ISSN |
48 | 12 | 0196-2892 |
Citations | PageRank | References |
12 | 0.69 | 20 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jose A. Piedra-Fernández | 1 | 16 | 3.58 |
| Manuel Cantón-Garbín | 2 | 21 | 1.94 |
| James Z. Wang | 3 | 7526 | 403.00 |