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Analytical Modelling of Positional and Thematic Uncertainties in the Integration of Remote Sensing and Geographical Information Systems

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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.

Document Type: Original Article


Affiliations: 1: The Hong Kong Polytechnic University, Hong Kong, 2: University of Vechta, Vechta, Germany, 3: International Institute for Aerospace Survey and Earth Sciences (ITC), Enschede, The Netherlands

Publication date: March 1, 1999


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