摘要
针对空间对象相似性描述未系统考虑地图的尺度变换,该文提出了模糊相似变换理论对多尺度地图中的空间对象相似性进行描述,线对象运用了连接到简单点的简单线的度和在16位方位系统中的方向值;简单面运用了中心距离维度、面积维度和方向维度建立了等弦方位角图谱。复杂空间对象以简单空间对象为组成要素,在尺度梯级变化和组成要素变化中度量模糊相似变换并建立模型。最终形成的度量模型可直接应用于矢量地图的更新、匹配、融合等,旨在为空间大数据的合理利用提供一定理论基础。
In view of spatial object similarity description,the scale transformation of map is not considered systematically.In this paper,fuzzy similarity transformation theory is introduced to describe the similarity of spatial objects in multi-scale map,the use of simple line objects connected to the line of simple points and in the 16 range system in the direction of value;the simple side of the centre distance,area dimension and direction dimension,direction dimension is established and the azimuth angle of chord.The complex space objects are composed of simple spatial objects,and the fuzzy similarity transformation is measured and the model is established in the change of scale and component.The final measurement model can be directly applied to the updating,matching and fusion of vector maps,which aims to provide a theoretical basis for the rational use of large spatial data.
作者
宗琴
姜树辉
刘艳霞
ZONG Qin;J IANG Shuhui;LIU Yanzia(Chongqing Jianzhu College,Chongqing 400072,China;Wuhan Institute of Surveying and Mapping,Wuhan 430022,China)
出处
《测绘科学》
CSCD
北大核心
2018年第11期72-78,共7页
Science of Surveying and Mapping
关键词
多尺度
模糊
相似变换
度量模型
multi-scale
fuzzy
similarity transformation
metric model
