Integration Of Geophysical And Geological Data Using Evidential Belief Function

The partial belief function approach is examined as a means to integrate one set of airborne and/or ground geophysical data with other available geological and geophysical data sets, and to update the existing information successively with newly observed data over target areas. In theory the Dempste...

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Bibliographic Details
Published inIEEE transactions on geoscience and remote sensing Vol. 28; no. 4; pp. 711 - 720
Main Author MOON, WOOILM
Format Journal Article
LanguageEnglish
Published IEEE 01.07.1990
Subjects
Bayesian methods
Geographic Information Systems
Geology
Geoscience
Information systems
Moon
Remote sensing
Satellites
Spatial resolution
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Summary:The partial belief function approach is examined as a means to integrate one set of airborne and/or ground geophysical data with other available geological and geophysical data sets, and to update the existing information successively with newly observed data over target areas. In theory the Dempster-Shafer method appears to be the most suitable method, but in practice several difficulties arise. One of the major difficulties is the dependency of the partial belief function on exploration targets, which can only be defined, at present, in a case-by-case approach. (I.E.)
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ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.1990.572988