参数化的空间实体变化分类方法

Parametric approach to classification of spatial object change

提出一种基于目标标识动态性、拓扑关系、维数、形状、位置、方位等多参数的空间实体变化分类模型,为单一空间实体变化的分类描述提供了形式化方法。在此基础上,提出一种变化分类的层次推断框架,分别对单一实体9种基本变化进行细分与形式化描述,给出有意义的变化类型。最后,以变化信息标报为例,阐述其应用方式。本文所提出的层次分类方法解决了变化信息标报中"标报什么"的问题。

A formal description model was proposed based on multi-parameter, including, identity, dynamic, dimension, shape and topological relationship in the between before and after changes. On this basis, the hierarchical inference framework of a classification of change was proposed, and each of the 9 basic changes in single entity was subdivided and formal description was given. Finally, the geo-spatial data reporting was used as an example to illustrate its application mode. The hierarchical classification method in this paper solves the questions of ＂what be reported＂ in change information reporting.