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Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing
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Methods for Handling Imperfect Spatial Information (Paperback, 2011 ed.)
Loot Price: R3,719
Discovery Miles 37 190
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Methods for Handling Imperfect Spatial Information (Paperback, 2011 ed.)
Series: Studies in Fuzziness and Soft Computing, 256
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Spatial information is pervaded by uncertainty. Indeed,
geographical data is often obtained by an imperfect interpretation
of remote sensing images, while people attach ill-defined or
ambiguous labels to places and their properties. As another
example, medical images are often the result of measurements by
imprecise sensors (e.g. MRI scans). Moreover, by processing spatial
information in real-world applications, additional uncertainty is
introduced, e.g. due to the use of interpolation/extrapolation
techniques or to conflicts that are detected in an information
fusion step. To the best of our knowledge, this book presents the
first overview of spatial uncertainty which goes beyond the setting
of geographical information systems. Uncertainty issues are
especially addressed from a representation and reasoning point of
view. In particular, the book consists of 14 chapters, which are
clustered around three central topics. The first of these topics is
about the uncertainty in meaning of linguistic descriptions of
spatial scenes. Second, the issue of reasoning about spatial
relations and dealing with inconsistency in information merging is
studied. Finally, interpolation and prediction of spatial phenomena
are investigated, both at the methodological level and from an
application-oriented perspective. The concept of uncertainty by
itself is understood in a broad sense, including both quantitative
and more qualitative approaches, dealing with variability,
epistemic uncertainty, as well as with vagueness of terms.
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