DocumentCode :
1025974
Title :
Probabilistic and Evidential Approaches for Multisource Data Analysis
Author :
Lee, Tong ; Richards, John A. ; Swain, Philip H.
Author_Institution :
School of Electrical Engineering and Computer Science and the Centre for Remote Sensing, University of New South Wales, Kensington NSW, Australia
Issue :
3
fYear :
1987
fDate :
5/1/1987 12:00:00 AM
Firstpage :
283
Lastpage :
293
Abstract :
Two methods for combining the information contents from multiple sources of remote-sensing image data and spatial data in general are described. One is a probabilistic scheme that employs a global membership function (similar to a joint posterior probability) that is derived from all available data sources. The other is an evidential calculus based upon Dempster´s orthogonal sum combination rule. A feature of both methods is that uncertainty regarding data analysis can be incorporated into the process. Both schemes are evaluated in terms of their general applicability and certain equivalences are noted. Moreover, both are shown to perform well on mixed multispectral data.
Keywords :
Availability; Calculus; Data analysis; Data mining; Geographic Information Systems; Humans; Information retrieval; Remote sensing; Sensor systems; Uncertainty;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.1987.289800
Filename :
4072641
Link To Document :
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