TY - GEN
T1 - Automated cyclone identification from remote QuikSCAT satellite data
AU - Ho, Shen Shyang
AU - Talukder, Ashit
PY - 2008/8/19
Y1 - 2008/8/19
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=49349113746&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=49349113746&partnerID=8YFLogxK
U2 - 10.1109/AERO.2008.4526521
DO - 10.1109/AERO.2008.4526521
M3 - Conference contribution
AN - SCOPUS:49349113746
SN - 1424414881
SN - 9781424414888
T3 - IEEE Aerospace Conference Proceedings
BT - 2008 IEEE Aerospace Conference, AC
T2 - 2008 IEEE Aerospace Conference, AC
Y2 - 1 March 2008 through 8 March 2008
ER -