MapGIS制图中随意参数底图的矢量校正

基于MapGIS软件系统分析和东准噶尔地区空间多元地学信息找矿预测工作，针对无矢量化随意参数地质图件资料的矢量校正，提出了关键点配准法的底图矢量校正方法；对于无配准矢量化图件的矢量校正，提出了关键点坐标法和关键点距离法2种解决方案。研究表明，采用关键点配准法可有效解决传统单幅底图法存在的累计误差大及工作效率低等问题。对于无配准普通数字化图件的矢量校正，可采用关键点坐标法和关键点距离法实现，前者是解决无配准矢量化图校正的最佳方法，适用于原始底图中有4个或以上的关键点，校正后的图件图元信息准确，后期不需要进行点、线图元参数的调整，具有误差小、效率高的特点；当无配准矢量化图中关键点数量少，不适用关键点坐标法时，可采用关键点距离法进行校正。这3种方法对提高成果资料的利用水平，促进空间多元地学信息找矿预测的有效性和准确率有重要意义。

Discussion on the Vector Correction of Random Parameters Map by MapGIS

Based on the analysis of MapGIS software system and spatial multivariate geoscience information prospecting of eastern Junggar，contrary to vector correction of non-vectorized random parameter geological map data，we present basemap vector correction method of the key points matching method.Furthermore，against vector correction of non-registration vector map，we propose two kinds of solutions，that is key points coordinate method and key points distance method.The results show that key points matching method can effectively solve the problems of large cumulative error and low efficiency caused by traditional single basemap method.For vector correction of non-registration ordinary digital maps，we use key points coordinate method and key points distance method to achieve this process，and the former is the best way to solve vector non-registration correction diagram，it is applied to the original basemap with four or more key points，the maps primitive information is accurate after correction，it does not adjustment point and line primitive parameter in late stage，with small error and high efficiency.When there is little key points in non-registration vector figure，we can use key points distance method to conduct correction instead of key points coordinate method.The three methods have an important significance to improve the utilization levels of outcome data，promote the validity and accuracy of spatial multivariate geoscience information prospecting.