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Model-Based Assistance for Analyzing Remote Sensor Data

  • Conference paper
Konzeption und Einsatz von Umweltinformationssystemen

Part of the book series: Informatik-Fachberichte ((INFORMATIK,volume 301))

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Abstract

The global objective of the RESEDA (REmote SEnsor Data Analysis) project, being conducted at the FAW Research Institute for Applied Knowledge Processing in Ulm (West Germany), is to make remote sensing technology available to a larger group of users in environmental management.* For this purpose, a knowledge-based advisory system is being developed, called the RESEDA Assistant. Processing models represented in a knowledge base are available to the RESEDA Assistant, which is thus able to facilitate the use of software tools for image processing or handling of spatial data.

This paper was presented on the ISPRS Comm. VII Mid-Term Symposium on Global and Environmental Monitoring — Techniques and Impacts, September 17–21,1990, Victoria, B.C., Canada.

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REFERENCES

  • B. G. Buchanan and E. H. Shortliffe (eds.), 1984. Rule-Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project. Addison-Wesley, Reading, MA.

    Google Scholar 

  • J. Desachy, 1989. ICARE: An Expert System for Automatic Mapping from Satellite Imagery. In: L.F. Pau (ed.), Mapping and Spatial Modeling for Navigation. Springer-Verlag.

    Google Scholar 

  • J. Gordon and E. Shortliffe, 1985. A Method for Managing Evidential Reasoning in a Hierarchical Hypotheses Space. AI Journal 26:323–357.

    MathSciNet  MATH  Google Scholar 

  • D.G. Goodenough et al., 1987. An Expert System for Remote Sensing. IEEE Transactions on Geos-cience and Remote Sensing, GE-25(3):349–359.

    Article  Google Scholar 

  • L. L. F. Jansen, 1990. GIS Supported Land Cover Classification of Satellite Images. Proceedings of the EGIS’90 conference, Amsterdam.

    Google Scholar 

  • T.M. Lillesand, Ralph W. Kiefer, 1987. Remote Sensing and Image Interpretation. John Wiley & Sons.

    Google Scholar 

  • D.M. McKeown, Jr., 1987. The Role of Artificial Intelligence in the Integration of Remotely Sensed Data with Geographic Information Systems. IEEE Transactions on Geoscience and Remote Sensing, GE-25(3):330–347.

    Article  Google Scholar 

  • H. Middelkoop et al, 1989. Knowledge Engineering for Image Interpretation and Classification: a Trial Run. ITC Journal 1989–1, Enschede.

    Google Scholar 

  • W.-F. Riekert, 1990. The RESEDA Project — A Knowledge Based Approach to Extracting Environmental Information from Remote Sensor Data. In: V. Cantoni et al. (eds.), Progress in Image Analysis and Processing; Proceedings of the 5th International Conference on Image Processing and Analysis. World Scientific.

    Google Scholar 

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© 1992 Springer-Verlag Berlin Heidelberg

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Riekert, WF., Ruwwe, T., Hess, G. (1992). Model-Based Assistance for Analyzing Remote Sensor Data. In: Günther, O., Radermacher, F.J., Kuhn, H., Mayer-Föll, R. (eds) Konzeption und Einsatz von Umweltinformationssystemen. Informatik-Fachberichte, vol 301. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-77296-2_20

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  • DOI: https://doi.org/10.1007/978-3-642-77296-2_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55158-4

  • Online ISBN: 978-3-642-77296-2

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