Supervised Multi-Task Learning for Tracking Inland Glacier Flows Using Sentinel-1 Tops Data
Author:
Affiliation:
1. Microwaves and Radar Institute,German Aerospace Center (DLR),Germany
2. University of the Bundeswehr,Institute of Space Technology and Space Applications,Munich,Germany
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642061.pdf?arnumber=10642061
Reference9 articles.
1. Conceptual Performance of a Satellite Borne, Wide Swath Synthetic Aperture Radar
2. TOPSAR: Terrain Observation by Progressive Scans
3. Demonstration of the Applicability of 2-Look Burst Modes in Non-Stationary Scenarios with TerraSAR-X;Prats-Iraola
4. GMES Sentinel-1 mission
5. Speckle Tracking and Interferometric Processing of TerraSAR-X TOPS Data for Mapping Nonstationary Scenarios
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