多源时空数据的地表分类信息挖掘

随着国土空间的发展,自然资源管理、国土空间规划等对于地表分类信息的需求日益增大,如何采用数据挖掘手段高效准确地获取地表分类信息成为目前重要的研究方向。本文在对多源数据进行分析研究的基础上,以地理国情监测、基础测绘、天地图等多源时空数据为数据源,参考第三次全国国土调查分类方案,综合采用多维度地表分类、语义规则映射、空间综合映射、多场景特征判断、分类权重判断、空间聚合分析等多种方法对地表分类信息进行挖掘。提出了一种汇聚多源数据优势的地表分类信息挖掘方法,对于丰富地表分类数据产品类型和信息的维度具有重要的意义。

Surface classification information mining based on multi-source spatio-temporal data

With the development of territorial space, the demand for surface classification information in natural resource management and territorial space planning is increasing day by day. How to obtain the surface classification information efficiently and accurately by using the data mining method has become an important research direction. Based on the analysis of multi-source data, referring to the classification scheme of the third national land survey, taking multi-source spatiao-temporal data as the data source, multi-dimensional surface classification, semantic rules mapping, spatial comprehensive mapping, multi-scene feature judgment, classification weight judgment, spatial aggregation analysis and other methods are used to mine the surface classification information. the paper proposes a method of surface classification information mining with the advantages of gathering multi-source data. It is of great significance to enrich the product types and information dimensions of surface classification data.