基于GIS的多源地理空间信息提取方法

Multi-source Geospatial Information Extraction Method Based on GIS

以解决地理空间信息数据重复采集、准确地完成土地类型的分类和相关信息的提取为出发点,提出基于地理信息系统(GIS)技术的多源地理空间信息提取方法。通过设计多源地理空间信息数据目录节点,准确查找多源地理空间信息数据;通过相应组件调用各类型数据模块实现数据读取,并通过可视化窗口呈现,充分利用多源地理空间信息数据;结合ArcGIS实行解读到的信息数据预处理,依据决策树获取分类规则,将分类规则导入遥感图像处理平台(ENVI)完成多源地理空间遥感影像分类,利用决策树对其完成信息提取。测试分析结果表明:设计方法能够有效完成多源地理空间信息的准确分类及提取,提取结果可清晰呈现所划分的类型全部信息。

In order to solve the problem of repeated collection of geospatial information data,and accurately complete the classification of land types and the extraction of related information,this paper proposed a multi-source geospatial information extraction method based on GIS technology.In this paper,through the design of multi-source geospatial information data directory node,accurate search of multi-source geospatial information data,retrievalof various data modules to achieve data reading with the corresponding components,use of multi-source geospatial information data with the visualization window,interpretation of information data preprocessing with ArcGIS,obtain classification rules with the decision tree of ENVI.The test results showed that:it couldeffectively complete the accurate classification and extraction of multi-source geospatial information,which the extraction results could clearly present.