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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Automated Cyclone Identification From Remote QuikSCAT Satellite Data


    Contributors:


    Publication date :

    2008-03-01


    Size :

    1299153 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    CATALINA EDDY CAPTURED BY NASA QUIKSCAT SATELLITE

    Hu, H. / Liu, W. T. / Styles, B. W. | British Library Conference Proceedings | 2002




    Tropical cyclone satellite remote sensing

    Hawkins, Jeffrey / Richardson, Kim / Turk, Joe et al. | AIAA | 1996


    QuikSCAT Mission

    Liu, W. Timothy / Graf, James E. | NTRS | 2000