Abstract | ||
---|---|---|
Satellite-based persistent scatterer satellite radar interferometry facilitates the monitoring of deformations of the earth's surface and objects on it. A challenge in data acquisition is the handling of large numbers of coherent radar scatterers. The behavior of each scatterer is time dependent and is influenced by changes in deformation and other phenomena. Built environments are especially chal... |
Year | DOI | Venue |
---|---|---|
2020 | 10.1109/TGRS.2019.2945370 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Time series analysis,Strain,Coherence,Satellites,Clustering algorithms,Spaceborne radar | Computer vision,Satellite,Remote sensing,Interferometry,Artificial intelligence,Mathematics,Model learning | Journal |
Volume | Issue | ISSN |
58 | 2 | 0196-2892 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bas van de Kerkhof | 1 | 0 | 0.34 |
Victor Pankratius | 2 | 266 | 20.51 |
Ling Chang | 3 | 24 | 4.58 |
Rob van Swol | 4 | 0 | 0.34 |
Ramon F. Hanssen | 5 | 107 | 28.92 |