Automated cyclone identification from remote QuikSCAT satellite data

Shen Shyang Ho, Ashit Talukder

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

12 Scopus citations

Abstract

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
DOIs
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
ISSN (Print)1095-323X

Other

Other2008 IEEE Aerospace Conference, AC
CountryUnited States
CityBig Sky, MT
Period3/1/083/8/08

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

Fingerprint Dive into the research topics of 'Automated cyclone identification from remote QuikSCAT satellite data'. Together they form a unique fingerprint.

  • Cite this

    Ho, S. S., & Talukder, A. (2008). Automated cyclone identification from remote QuikSCAT satellite data. In 2008 IEEE Aerospace Conference, AC [4526521] (IEEE Aerospace Conference Proceedings). https://doi.org/10.1109/AERO.2008.4526521