Name
Abstract | ||
|---|---|---|
The information content of ENVISAT ASAR alternating polarization data is evaluated with respect to operations at the Canadian Ice Service. A data set covering an entire ice season is shown to have a higher information content compared to single polarization data. The potential for automated information extraction is also investigated, in particular problems caused by system noise and its variation over the swath. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/IGARSS.2004.1370782 | IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET |
Keywords | Field | DocType |
ASAR, cross-polarization, sea ice | Meteorology,Spaceborne radar,Sea ice,Computer science,Synthetic aperture radar,Remote sensing,Canadian Ice Service,Information extraction | Conference |
ISSN | Citations | PageRank |
2153-6996 | 2 | 0.46 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bernd Scheuchl | 1 | 41 | 5.93 |
| Ronald Caves | 2 | 2 | 0.46 |
| Dean Flett | 3 | 6 | 3.26 |
| Roger de Abreu | 4 | 3 | 2.57 |
| Matt Arkett | 5 | 8 | 3.18 |
| Ian G. Cumming | 6 | 231 | 19.14 |