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Titlebook: Methods for Handling Imperfect Spatial Information; Robert Jeansoulin,Odile Papini,Steven Schockaert Book 2010 Springer-Verlag Berlin Heid

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書目名稱Methods for Handling Imperfect Spatial Information
編輯Robert Jeansoulin,Odile Papini,Steven Schockaert
視頻videohttp://file.papertrans.cn/633/632244/632244.mp4
概述Recent research on Uncertainty Handling in Spatial Information Processing.State-of-the Art book.Written by leading experts in this field
叢書名稱Studies in Fuzziness and Soft Computing
圖書封面Titlebook: Methods for Handling Imperfect Spatial Information;  Robert Jeansoulin,Odile Papini,Steven Schockaert Book 2010 Springer-Verlag Berlin Heid
描述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
出版日期Book 2010
關(guān)鍵詞Computational Intelligence; Spatial Information Processing; Uncertainty Handling
版次1
doihttps://doi.org/10.1007/978-3-642-14755-5
isbn_softcover978-3-642-26534-1
isbn_ebook978-3-642-14755-5Series ISSN 1434-9922 Series E-ISSN 1860-0808
issn_series 1434-9922
copyrightSpringer-Verlag Berlin Heidelberg 2010
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Generating Fuzzy Regions from Conflicting Spatial Informationolutions that emphasize, rather than ignore, the conflicting nature of different views, we advocate the use of fuzzy sets to represent regions. Finally, the results of a number of experiments are presented to demonstrate the effectiveness of the overall approach.
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