This paper describes three aspects of uncertainty in geographical information systems (GIS) and remote sensing. First, the positional uncertainty of an area object in a GIS is discussed as a function of positional uncertainties of line segments and boundary line features. Second, the thematic uncertainty of a classified remote sensing image is described using the probability vectors from a maximum likelihood classification. Third, the “S-band” model is used to quantify uncertainties after combining GIS and remote sensing data.
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Document Type: Original Article
The Hong Kong Polytechnic University, Hong Kong,
University of Vechta, Vechta, Germany,
International Institute for Aerospace Survey and Earth Sciences (ITC), Enschede, The Netherlands
Publication date: 01 March 1999