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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 amb… Mehr…

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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 amb… Mehr…

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Robert Jeansoulin; Odile Papini; Henri Prade; Steven Schockaert:
Methods for Handling Imperfect Spatial Information - neues Buch

2010

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Robert Jeansoulin; Odile Papini; Henri Prade; Steven Schockaert:
Methods for Handling Imperfect Spatial Information - neues Buch

2010, ISBN: 9783642147555

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Bibliographische Daten des bestpassenden Buches

Details zum Buch

Detailangaben zum Buch - Methods for Handling Imperfect Spatial Information


EAN (ISBN-13): 9783642147555
Erscheinungsjahr: 2010
Herausgeber: Springer Berlin Heidelberg

Buch in der Datenbank seit 2017-04-19T00:07:16+02:00 (Vienna)
Detailseite zuletzt geändert am 2022-02-01T14:15:05+01:00 (Vienna)
ISBN/EAN: 9783642147555

ISBN - alternative Schreibweisen:
978-3-642-14755-5
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: robert henri, papini
Titel des Buches: information handling


Daten vom Verlag:

Autor/in: Robert Jeansoulin; Odile Papini; Henri Prade; Steven Schockaert
Titel: Studies in Fuzziness and Soft Computing; Methods for Handling Imperfect Spatial Information
Verlag: Springer; Springer Berlin
380 Seiten
Erscheinungsjahr: 2010-10-02
Berlin; Heidelberg; DE
Sprache: Englisch
149,79 € (DE)
154,00 € (AT)
177,00 CHF (CH)
Available
XII, 380 p. 123 illus., 55 illus. in color.

EA; E107; eBook; Nonbooks, PBS / Technik/Allgemeines, Lexika; Mathematik für Ingenieure; Verstehen; Computational Intelligence; Spatial Information Processing; Uncertainty Handling; C; Mathematical and Computational Engineering Applications; Engineering; BB

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.
Recent research on Uncertainty Handling in Spatial Information Processing State-of-the Art book Written by leading experts in this field

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