Name
Abstract | ||
|---|---|---|
Sea ice charts are provided operationally by the Canadian Ice Service (CIS) for the convenience of people in high-latitude regions. Hence, approaches to ice-water discrimination are in demand. An approach is proposed in this paper, in which no manual interpretation is involved in the selection of training data. It is done based on the discrepancy of incidence angle dependence between sea ice and open water. This approach has been tested on five synthetic aperture radar (SAR) images from Envisat Advance SAR (ASAR). The validation shows that the approach works fairly well in identifying large areas of open water with an average accuracy of 92.97%. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/IGARSS.2016.7730269 | 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) |
Keywords | Field | DocType |
sea ice, classification, SAR, incidence angle dependence | Meteorology,Sea ice concentration,Radar imaging,Sea ice,Interferometric synthetic aperture radar,Computer science,Synthetic aperture radar,Early-warning radar,Space-based radar,Remote sensing,Canadian Ice Service | Conference |
ISSN | Citations | PageRank |
2153-6996 | 0 | 0.34 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huiying Liu | 1 | 0 | 2.03 |
| Huadong Guo | 2 | 459 | 84.66 |
| Xiao-Ming Li | 3 | 0 | 1.01 |
| Lu Zhang | 4 | 3 | 4.09 |