Environmental monitoring using image analysis

  • Authors:

  • Alexey Anufriev;Heikki Kälviäinen;Arto Kaarna

  • Affiliations:

  • Laboratory of Information Processing, Department of Information Technology, Lappeenranta University of Technology, Lappeenranta, Finland;Laboratory of Information Processing, Department of Information Technology, Lappeenranta University of Technology, Lappeenranta, Finland;Laboratory of Telecommunications, Department of Information Technology, Lappeenranta University of Technology, Lappeenranta, Finland

  • Venue:
  • SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
  • Year:
  • 2003

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Abstract

Environmental monitoring is an important task while estimating for example the influence of human activities in the nature. In this paper image analysis methods for performing these monitoring tasks are presented. We focus on the analyses of vegetation changes in lake water areas. Aerial photos taken in years 1996 and 1999 are used for the environmental monitoring of the largest Finnish lake, called Lake Saimaa. The first image analysis step is a geometrical correction that maps the analyzed images to the same coordinate system and to the same scale. The second step is to match the corresponding local regions. The third step is to find changes in vegetation. To detect vegetation we apply different classification approaches, including supervised and unsupervised classification methods. Experiments with different images, influenced by illumination, weather conditions, photographing angles, gave promising results.