Cyclone tracking using multiple satellite image sources

Anand Panangadan, Shen Shyang Ho, Ashit Talukder

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

8 Scopus citations

Abstract

We present an automated cyclone tracking system that uses images from multiple satellite sources. The system tracks cyclones using infrared images from a Geostationary Operational Environmental Satellite (GOES), precipitation images derived from five satellite sources, and ocean surface wind field satellite images. The system consists of three main components: (i) data preprocessing steps for each data source, (ii) cyclone eye detection algorithms for each data source, and (iii) a filter-based tracker that integrates the eye detection results from each data source. Experimental results show that our prototype system is operationally feasible and has better performance than our prior cyclone tracking system.

Original languageEnglish (US)
Title of host publication17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2009
Pages428-431
Number of pages4
DOIs
StatePublished - Dec 1 2009
Event17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2009 - Seattle, WA, United States
Duration: Nov 4 2009Nov 6 2009

Publication series

NameGIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

Other

Other17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2009
CountryUnited States
CitySeattle, WA
Period11/4/0911/6/09

All Science Journal Classification (ASJC) codes

  • Earth-Surface Processes
  • Computer Science Applications
  • Modeling and Simulation
  • Computer Graphics and Computer-Aided Design
  • Information Systems

Fingerprint Dive into the research topics of 'Cyclone tracking using multiple satellite image sources'. Together they form a unique fingerprint.

Cite this