Name
Title | ||
|---|---|---|
Arctic Sea Ice Characterization Using Spaceborne Fully Polarimetric L-, C-, and X-Band SAR With Validation by Airborne Measurements. |
Abstract | ||
|---|---|---|
In recent years, spaceborne synthetic aperture radar (SAR) polarimetry has become a valuable tool for sea ice analysis. Here, we employ an automatic sea ice classification algorithm on two sets of spatially and temporally near coincident fully polarimetric acquisitions from the ALOS-2, Radarsat-2, and TerraSAR-X/TanDEM-X satellites. Overlapping coincident sea ice freeboard measurements from airbor... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TGRS.2018.2809504 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Sea ice,Synthetic aperture radar,Temperature measurement,Sea measurements,Neural networks,Arctic | Sea ice,Feature vector,Polarimetry,Synthetic aperture radar,Remote sensing,Feature extraction,Eigendecomposition of a matrix,Covariance matrix,Arctic ice pack,Mathematics | Journal |
Volume | Issue | ISSN |
56 | 7 | 0196-2892 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Singha, S. | 1 | 19 | 4.57 |
| Malin Johansson | 2 | 1 | 0.35 |
| Nicholas Hughes | 3 | 1 | 0.35 |
| Sine Munk Hvidegaard | 4 | 1 | 0.35 |
| Henriette Skourup | 5 | 1 | 1.70 |