基于符号提取的地质要素子类动态划分技术

地质矿产图件中的要素子类往往与地质实体的专业属性密切相关，对于地质要素的细化和量化有着重要的意义，然而目前尚缺乏完整的划分方案。通过对全国矿产资源潜力评价过程中形成的海量地质图件进行数据整理分析，从地质要素的图面符号表达出发，提出了一种基于要素符号特征的地质要素子类划分技术，该方法可以与潜力评价数据模型相关联，以实现划分结果动态调整和优化。开发的软件工具对潜力评价部分数据实验表明，要素子类划分自动高效，形成的划分方案有一定的参考价值。

The Subclass Dynamic Classification of Geological Features Based on Symbols Extraction

The sub-feature classes of geology and mineral resources maps are often closely related to the professional attributes of geological entity, which has an important significance for the refinement and quantify of the geological feature. However there is still a lack of complete division plan. By analyzing the massive geological maps produced in the project of National Mineral Resource Potential Evaluation, and starting from the symbolic expression of geological factors, this article proposed the subclass classification method of geological features based on symbol characteristics. The method can be associated with potential evaluation data model in order to realize dynamic adjustment and optimization of the classification results. Also, the experiment for data of potential evaluation using developed software tools shows that the results are automatic and efficient, which has certain reference value.