Software tool for tracking ocean color anomalies

M. Zhang, C. Hu, A. Khanal, W. Zhang

Research output: Contribution to conferencePaperpeer-review

Abstract

We describe a software framework to integrate image processing algorithms and an expert system shell for automatic classification of ocean color anomalies on satellite images. Based on this framework, a prototype knowledgeguided system is developed to track harmful algal blooms and dark water events. In developing the prototype system, a fuzzy clustering algorithm is first applied to a set of SeaWiFS images taken over the coastal ocean off Florida's west coast. Heuristic rules are extracted from the clustered images to create a knowledge base. Later, the system is applied to a set of new images and identifies ocean color anomalies under the guidance of the knowledge base.

Original languageEnglish (US)
Pages829-832
Number of pages4
StatePublished - Dec 1 2009
Event33rd International Symposium on Remote Sensing of Environment, ISRSE 2009 - Stresa, Italy
Duration: May 4 2009May 8 2009

Other

Other33rd International Symposium on Remote Sensing of Environment, ISRSE 2009
CountryItaly
CityStresa
Period5/4/095/8/09

Keywords

  • Classification
  • Expert system
  • Fuzzy clustering
  • Image processing
  • Java technology
  • Ocean color
  • Red tides

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