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An Extension of an Ontology-Based Land Cover Designation Approach for Fuzzy Rules

机译：模糊规则的本体陆地覆盖指定方法的延伸

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Satellite image interpretation requires the assignment of sets of objects (or pixels) that share certain attribute values to object categories. This procedure requires expert intervention and knowledge. An approach has been developed that formalizes expert knowledge in the image interpretation procedure with ontologies. Ontologies provide a definition of object categories and associated attribute values that are known to represent these object categories. A classic ontology has the limitation that the definitions of object categories and their properties need to be crisp, i.e. not overlapping. Practical tests showed that less rigid definitions of class properties make the ontology-based approach more flexible and adaptable to different study areas and satellite images. This paper presents the extension of the ontology-based approach with fuzzy rules and discusses the advantages of this extension.
机译：卫星图像解释需要分配对象类别的某些属性值的对象（或像素）集分配。该程序需要专家干预和知识。已经开发了一种方法，以便在与本体中的图像解释程序中正式确定专业知识。 Ontologies提供了对象类别的定义和已知表示这些对象类别的关联属性值。经典的本体具体是对象类别的定义及其属性的定义需要是清晰的，即不重叠。实际测试表明，类特性的刚性定义较少，使基于本体的方法更加灵活，适应不同的研究区和卫星图像。本文介绍了基于本体的方法的扩展，具有模糊规则，并讨论了这一扩展的优势。

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