Meteorological image descriptors

  • Authors:

  • J. L. Crespo;P. Bernardos;M. E. Zorrilla;E. Mora

  • Affiliations:

  • Department of Applied Mathematics and Computer Sciences, University of Cantabria, Santander, Spain;Department of Applied Mathematics and Computer Sciences, University of Cantabria, Santander, Spain;Department of Applied Mathematics and Computer Sciences, University of Cantabria, Santander, Spain;Department of Applied Mathematics and Computer Sciences, University of Cantabria, Santander, Spain

  • Venue:
  • EUROCAST'05 Proceedings of the 10th international conference on Computer Aided Systems Theory
  • Year:
  • 2005

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Abstract

The objective of this paper is to get a visual characterization of time evolution images, in particular, synoptic maps taken from Meteorology. Preliminary tasks required before image processing are reviewed. Two different types of numerical descriptors are extracted for characterizing the images, the called low level numerical descriptors, and the high level corresponding ones. The latter will be subsequently used for prediction tasks, meanwhile the former will be used for classification tasks. Three different relevant information sources in the images are identified as their low level descriptors. These are defined by the local density and orientation of the isobar lines, and the number of centres of high (H) and low (L) pressure. Regarding the high level descriptors, two main features are taken into account. The different procedures carried out to extract the previous descriptors for our images of interest are discussed.