We discuss a fully automated remote cyclone identification and tracking approach using the QuikSCAT wind sensor data. Our approach consists of five main automated steps: QuikSCAT data retrieval, QuikSCAT feature extraction & data preprocessing, cyclone identification, motion/location prediction, and cyclone tracking. Ensemble learning based on a committee of support vector machines using features extracted from QuikSCAT wind sensor data are used for cyclone identification. Experimental results demonstrates the feasibility and usefulness of our automated approach.
Automated Cyclone Identification From Remote QuikSCAT Satellite Data
01.03.2008
1299153 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Catalina eddy captured by NASA QuikSCAT satellite
NTRS | 2002
|NTRS | 2000
|Tropical cyclone satellite remote sensing
AIAA | 1996
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