基于格网聚类与空间叠置的矢量空间数据变化检测方法研究——以地理国情监测应用为例

Research on Vector Spatial Data Change Detection Method Based on Grid-Based Clustering and Spatial Overlay——An Example of the Application of National Geographic Conditions Monitoring

在分析和借鉴传统变化检测方法的基础上,提出了基于格网聚类与空间叠置的变化检测模型,实现了地理国情普查数据中矢量空间数据的快速变化检测,拓展了矢量空间数据变化检测的理论方法,为地理国情动态监测提供了理论和方法支撑.

Based on the analysis and reference of traditional change detection methods,this paper proposed a change detection model based on grid-based clustering and spatial overlay,realized a rapid change detection in the national geographic condition census data,expanded the theory and method of vector spatial data change detection,provided theoretical and methodological support for national geographic conditions monitoring.