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

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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

151 transition probability land usage previous year exposition > Rule northern slope => no wine cf = 90% wine sensor channels > > > > > > > land usage in training areas A water forest wine fruit Figure 4: Combination of evidence from multiple processsing models 4. CONCLUSIONS AND FUTURE WORK Human image interpreters apply rules that derive addi tional evidence from ancillary data for identifying parti cular classes in a spectral classification. An example of such a rule is the following: Wine often grows on southern slopes between 50 and 300 meters elevation. A MYCIN-like approach combining this type of rule with probabilities derived by statistical classification is described in (Desachy, 1989). Rather than interprete these rules on a pixel-by-pixel basis, we intend to trans late such a rule to an algorithm that computes additional evidence for land-use classes from the available geogra phic data. That is, the rule will be compiled into a dedicated processing model. Other sources of evidence in land-use classification lead to new types of processing models such as the transition probabilities between land- use classes, as handled in the work of H. Middelkoop at ITC Enschede (Janssen, 1990). Future work will concern the combination of evidence computed by multiple processing models including su pervised spectral classification, rules on ancillary data, and transition probabilités in parallel (figure 4). There are a number of alternate methods of combining eviden ce, such as MYCIN-type certainty factors (Buchanan, 1984), the Bayesian method (as used in Middelkoop, 1989), and the Dempster-Shafer approach (Gordon, 1985). At present and in future stages of the RESEDA research, we will be working on three levels in parallel, thus conforming to the following general guideline of the RESEDA project: - On the application level, we are becoming familiar with the user’s requirements, and we are trying to verify our methodology by cooperating with an environmental project. Currently, RESEDA is in volved in the Integrated Rhine Project (IRP), which is directed by the Environmental Ministery of the Federal State of Baden-Württemberg. One scientist from our team (a biologist) is permanently engaged in this part of the project.

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