Proceedings of the Symposium on Global and Environmental Monitoring: Proceedings of the Symposium on Global and Environmental Monitoring

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Multivolume work

Persistent identifier:: 856665355

Title:: Proceedings of the Symposium on Global and Environmental Monitoring

Sub title:: techniques and impacts ; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada

Year of publication:: 1990

Place of publication:: Victoria, BC

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 856665355

Language:: English

Document type:: Multivolume work

Volume

Persistent identifier:: 856669164

Title:: Proceedings of the Symposium on Global and Environmental Monitoring

Sub title:: techniques and impacts; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada

Scope:: XIV, 912 Seiten

Year of publication:: 1990

Place of publication:: Victoria, BC

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 856669164

Illustration:: Illustrationen, Diagramme, Karten

Signature of the source:: ZS 312(28,7,1)

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: International Society for Photogrammetry and Remote Sensing, Commission of Photographic and Remote Sensing Data

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [WA-1 KNOWLEDGE-BASED TECHNIQUES/ SYSTEMS FOR DATA FUSION]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: MODEL-BASED ASSISTANCE FOR ANALYZING REMOTE SENSOR DATA. Wolf-Fritz Riekert, Thomas Ruwwe, Günther Hess

Document type:: Multivolume work

Structure type:: Chapter

152 - On the knowledge-engineering level, we are conti nuously integrating new knowledge from remote sensing, geo-science, and image-processing into the existing framework of the RESEDA knowledge base. It is mainly here that experiences from the applica tion level are integrated. A surveying engineer, a specialist in remote sensing, is working .on this knowledge-acquisition task. - On the implementation level we are augmenting the representational framework for the RESEDA know ledge base and extending the inference and data processing subsystem. This work is guided by requi rements formulated at the knowledge-engineering level. Two software engineers are permanently en gaged in these tasks of expert system-design and programming. Our research aims at an expert system to simplify the use of remote sensing techniques for non-expert users. To achieve this task we need to elicit the knowledge behind these techniques to gain better insight into the concepts and models available to a remote sensing expert. Beyond building the RESEDA expert system and its knowledge base, the research being done in RESEDA also contribu tes to the development and refinement of a scientific theory of remote sensing. References B. G. Buchanan and E. H. Shortliffe (eds.), 1984. Rule- Based Expert Systems: The MYCIN Experiments of the Stanford Heuristic Programming Project. Addison-Wes- ley, Reading, MA. J. Desachy, 1989. ICARE: An Expert System for Auto matic Mapping from Satellite Imagery. In: L.F. Pau (ed.), Mapping and Spatial Modeling for Navigation. Springer-Verlag. J. Gordon and E. Shortliffe, 1985. A Method for Mana ging Evidential Reasoning in a Hierarchical Hypotheses Space. AI Journal 26: 323-357. D.G. Goodenough et al., 1987. An Expert System for Remote Sensing. IEEE Transactions on Geoscience and Remote Sensing, GE-25 (3): 349-359. L. L. F. Jansen, 1990. GIS Supported Land Cover Clas sification of Satellite Images. Proceedings of the EGIS’90 conference, Amsterdam. T.M. Lillesand, Ralph W. Kiefer, 1987. Remote Sensing and Image Interpretation. John Wiley & Sons. D.M. McKeown, Jr., 1987. The Role of Artificial Intel ligence in the Integration of Remotely Sensed Data with Geographic Information Systems. IEEE Transactions on Geoscience and Remote Sensing, GE-25 (3): 330-347. H. Middelkoop et al., 1989. Knowledge Engineering for Image Interpretation and Classification: a Trial Run. ITC Journal 1989-1, Enschede. W.-F. Riekert, 1990. The RESEDA Project - A Knowled ge Based Approach to Extracting Environmental Infor mation from Remote Sensor Data. In: V. Cantoni et al. (cds.), Progress in Image Analysis and Processing; Pro ceedings of the 5th International Conference on Image Processing and Analysis. World Scientific.

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