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Combining multispectral and ancillary data in remote sensing using interval-valued probabilitiesThis paper presents a method for classifying multisource data in remote sensing and geographic information systems using interval-valued probabilities. In this method, each data source is considered as an information source which provides a body of statistical evidence. In order to integrate information obtained from multiple data sources, the method adopts Dempster's rule for combining multiple bodies of evidence. Preliminary experiments have been undertaken to illustrate the use of the method in a supervised ground-cover classification on multispectral data combined with digital elevation data. They demonstrate the ability of the method in capturing information provided by inexact and incomplete evidence when there are not enough training samples to estimate statistical parameters.
Document ID
19910035162
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Kim, H.
(Purdue Univ. West Lafayette, IN, United States)
Swain, P. H.
(Purdue University West Lafayette, IN, United States)
Date Acquired
August 15, 2013
Publication Date
June 1, 1989
Subject Category
Earth Resources And Remote Sensing
Accession Number
91A19785
Funding Number(s)
CONTRACT_GRANT: NAGW-925
Distribution Limits
Public
Copyright
Other

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