Methods for Handling Imperfect Spatial Information

Jeansoulin, Robert|Papini, Odile|Prade, Henri|Schockaert, Steven

ISBN 10: 3642147542 / ISBN 13: 9783642147548

Verlag: Springer Berlin Heidelberg, 2010

Beschreibung

Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recent research on Uncertainty Handling in Spatial Information Processing State-of-the Art bookWritten by leading experts in this fieldSpatial information is pervaded by uncertainty. Indeed, geographical data is often obtained by an imperfect i. Bestandsnummer des Verkäufers 5050609

Bibliografische Details

Titel: Methods for Handling Imperfect Spatial ...

Verlag: Springer Berlin Heidelberg

Erscheinungsdatum: 2010

Einband: Gebunden

Zustand: New

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Inhaltsangabe:

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.