Name
Title | ||
|---|---|---|
Automatic Sea-Ice Classification of SAR Images Based on Spatial and Temporal Features Learning |
Abstract | ||
|---|---|---|
Sea ice has a significant effect on climate change and ship navigation. Hence, it is crucial to draw sea-ice maps that reflect the geographical distribution of different types of sea ice. Many automatic sea-ice classification methods using synthetic aperture radar (SAR) images are based on the polarimetric characteristics or image texture features of sea ice. They either require professional knowl... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TGRS.2020.3049031 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | DocType | Volume |
Sea ice,Ice,Radar polarimetry,Synthetic aperture radar,Feature extraction,Sea surface,Surface roughness | Journal | 59 |
Issue | ISSN | Citations |
12 | 0196-2892 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| wei song | 1 | 3 | 2.21 |
| Minghui Li | 2 | 18 | 4.67 |
| Wen Gao | 3 | 0 | 0.34 |
| Dongmei Huang | 4 | 16 | 6.01 |
| Zhenling Ma | 5 | 4 | 1.59 |
| Antonio Liotta | 6 | 5 | 3.13 |
| Cristian Perra | 7 | 104 | 16.23 |