Methods for Handling Imperfect Spatial Information

Methods for Handling Imperfect Spatial Information
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处理不完美空间信息的方法

DOI:
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发表时间:
2010
期刊:
Studies in Fuzziness and Soft Computing
影响因子:
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通讯作者:
Steven Schockaert
Steven Schockaert
中科院分区:
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文献类型:
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作者:
Robert Jeansoulin;Odile Papini;H. Prade;Steven Schockaert

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空间信息充满了不确定性。事实上,地理数据往往是通过对遥感图像的不完全解释获得的,而人们给地点及其属性贴上不明确或含糊的标签。另一个例子是,医学图像通常是由不精确的传感器(例如核磁共振扫描)测量的结果。此外,通过在现实世界应用中处理空间信息,引入了额外的不确定性,例如由于使用插值/外推技术或在信息融合步骤中检测到的冲突。据我们所知,这本书提出了超越地理信息系统设置的空间不确定性的第一个概述。不确定性问题特别从表示和推理的角度来解决。特别是,本书由14章组成,围绕三个中心主题聚集在一起。第一个主题是关于空间场景的语言描述的意义的不确定性。其次,研究了信息合并中的空间关系推理和不一致处理问题。最后,从方法层面和应用角度对空间现象的插值和预测进行了研究。不确定性的概念本身是在广义上理解的,包括定量和更定性的方法,处理可变性、认知的不确定性以及术语的模糊性。
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.