Automated cyclone identification from remote QuikSCAT satellite data

Shen Shyang Ho, Ashit Talukder

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations


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.

Original languageEnglish (US)
Title of host publication2008 IEEE Aerospace Conference, AC
StatePublished - Aug 19 2008
Externally publishedYes
Event2008 IEEE Aerospace Conference, AC - Big Sky, MT, United States
Duration: Mar 1 2008Mar 8 2008

Publication series

NameIEEE Aerospace Conference Proceedings


Other2008 IEEE Aerospace Conference, AC
Country/TerritoryUnited States
CityBig Sky, MT

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science


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