基于特征匹配的土地利用数据语义邻近度计算

发布时间：2018-10-21 15:37

【摘要】：定量化语义关系的判断是地理数据处理的关键,也是地理本体建模与表达的难点,土地利用数据作为典型的专题性地理数据,其语义特征上的邻近关系如何,是土地资源统计、整理、规划、管理和开发需要关注的问题。针对土地利用数据的语义特征,从《土地利用现状分类》的依据出发,结合其权属特征,建立了土地利用数据语义特征的多细节层次表达模型;随后应用特征匹配的方法,通过计算其在权属、覆盖成因、覆盖类型、用途、利用状态、植被类型、附着物性质、利用方式等方面的匹配关系得到土地利用数据语义邻近度的具体度量值,实现土地利用数据从语义建模到邻近度计算的整个过程。在试验中则以具有不同语义特征的土地利用数据实体为例进行语义邻近关系计算,并将试验结果与实际经验判断进行比较,证明该模型具有较强的实用性,计算结果符合人类的认知。
[Abstract]:The judgment of quantitative semantic relationship is the key of geographic data processing, and it is also the difficulty of modeling and expressing geographical ontology. As a typical thematic geographic data, land use data is the land resource statistics. Organize, plan, manage and develop issues that require attention. According to the semantic features of land use data and the basis of classification of land use status, a multi-level representation model of semantic features of land use data is established, and then the method of feature matching is applied. By calculating its matching relation in the aspects of ownership, coverage origin, coverage type, use, utilization state, vegetation type, attachment property, utilization mode and so on, the specific measures of the semantic proximity of land use data are obtained. The whole process of land use data from semantic modeling to proximity calculation is realized. In the experiment, the Land-use data entities with different semantic characteristics are taken as an example to calculate the semantic proximity relationship, and the experimental results are compared with the actual experience judgment, which proves that the model has strong practicability. The results are consistent with human cognition.
【作者单位】：中电科新型智慧城市研究院有限公司;武汉大学资源与环境科学学院;深圳市规划国土房产信息中心;
【基金】：数字制图与国土信息应用工程国家测绘地理信息局重点实验室开放基金(GCWD201403)
【分类号】：F301.2

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