Architecture of a knowledge-based system for remote sensor data analysis

ABSTRACT

This paper describes the current status of the project RESEDA, which stands for REmote SEnsor Data Analysis. The main objective of RESEDA is the development of a knowledge-based system for the extraction of environmental information from digital raster images of the earth, obtained from airborne or spaceborne sensors. The project is designed to satisfy user demands for standardization and for improvement of image-processing results by means of ancillary data. The project, which is funded by Siemens and by the Federal State of Baden-Württemberg, is conducted by the FAW (the Research Institute for Applied Knowledge Processing) in Ulm, West Germany.

REFERENCES

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INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.5 PATTERN RECOGNITION

Additional Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
  I.4 IMAGE PROCESSING AND COMPUTER VISION
      I.4.1 Digitization and Image Capture
          Subjects: Scanning

  J. Computer Applications
  J.2 PHYSICAL SCIENCES AND ENGINEERING
      Subjects: Earth and atmospheric sciences

General Terms:
Design