摘要
基于当前多源地理信息联合生产及更新需求,通过理清地理要素变化识别思路,总结出一套地理要素变化识别算法。该算法以要素的几何类型为基准,从欧氏距离、线要素角度、缓冲区、大小相似度、形状相似度、属性等指标着手,对地理要素进行匹配和变化识别。并以地理国情监测数据识别1∶10000 DLG变化为例,选取了湖北省部分区域数据对算法进行应用。在详细阐述该方法的思路、指标、应用的同时,分析了其局限性和可改进之处,以期为多源地理信息联合生产及更新提供更多思路和方法。
Based on the current demand of joint production and updating of multisource geographical information,we summarized a set of change recognition algorithms of geographical features by clarifying the ideas of change recognition of geographical features.Based on the geometric type of geographical features,the algorithms startedfrom the Euclidean distance,angle of line features,buffer,size similarity,shape similarity,attributes and other indicators to match and recognize changes of the geographical features.Taking the change recognition of 1:10000 DLG based on geographical conditions monitoring data for example,we chose some regional data of Hubei Province to apply the algorithms.After describing the ideas,the indicators and the application of the method,we also analyzed the limitations and improvements in this paper,which could provide more ideas and methods for the joint production and updating of multi-source geographical information.
出处
《地理空间信息》
2020年第6期53-55,I0002,共4页
Geospatial Information
关键词
多源数据
变化识别
地理要素
地理国情监测
multi-source data
change recognition
geographical feature
geographical conditions monitoring
