Automated cyclone tracking using multiple remote satellite data via knowledge transfer

Shen Shyang Ho, Ashit Talukder

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

1 Scopus citations

Abstract

Cyclone tracking using a single orbiting satellite in a continuous manner is impractical as it has limited spatial and temporal coverage. One solution is to use multiple orbiting satellites for cyclone tracking. However, data from some orbiting satellites do not provide features as useful as other satellites in identifying cyclones. Moreover, satellite data containing strong cyclone discriminating features may be affected by coarse temporal resolution and object occlusion. In this paper, we propose a knowledge transfer methodology based on a Kalman filter for cyclone tracking using multiple satellite data sources containing a mixture of strong and weak features. This approach minimizes the negative effect of coarse temporal resolution and occlusion if only the satellite data containing strong cyclone discriminating features were used. Experimental results are presented to demonstrate the feasibility and usefulness of our knowledge transfer approach for cyclone tracking.

Original languageEnglish (US)
Title of host publication2009 IEEE Aerospace Conference
DOIs
StatePublished - Sep 21 2009
Event2009 IEEE Aerospace Conference - Big Sky, MT, United States
Duration: Mar 7 2009Mar 14 2009

Publication series

NameIEEE Aerospace Conference Proceedings
ISSN (Print)1095-323X

Other

Other2009 IEEE Aerospace Conference
CountryUnited States
CityBig Sky, MT
Period3/7/093/14/09

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science

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    Ho, S. S., & Talukder, A. (2009). Automated cyclone tracking using multiple remote satellite data via knowledge transfer. In 2009 IEEE Aerospace Conference [4839579] (IEEE Aerospace Conference Proceedings). https://doi.org/10.1109/AERO.2009.4839579