Methods for Handling Imperfect Spatial Information

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 measurem...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Jeansoulin, Robert (Editor ), Papini, Odile (Editor ), Prade, Henri (Editor ), Schockaert, Steven (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Studies in Fuzziness and Soft Computing, 256
Temas:
Engineering mathematics.
Engineering-Data processing.
Mathematical and Computational Engineering Applications.
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Methods for Handling Imperfect Spatial Information  |h [electronic resource] /  |c edited by Robert Jeansoulin, Odile Papini, Henri Prade, Steven Schockaert. 
250 |a 1st ed. 2010. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2010. 
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490 1 |a Studies in Fuzziness and Soft Computing,  |x 1860-0808 ;  |v 256 
505 0 |a Part 1: Describing spatial congurations -- Part 2 Symbolic reasoning and information merging -- Part 3: Prediction and interpolation. 
520 |a 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. 
650 0 |a Engineering mathematics. 
650 0 |a Engineering-Data processing. 
650 1 4 |a Mathematical and Computational Engineering Applications. 
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700 1 |a Papini, Odile.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Prade, Henri.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Schockaert, Steven.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
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