针对无矢量参考数据自发地理信息道路精度难以评价的问题,提出了一种基于影像匹配的道路精度评价方法。首先提取影像与自发地理信息中的道路交叉口作为控制点,并将对应的交叉口进行匹配,以同名控制点的均方根误差作为自发地理信息的道...针对无矢量参考数据自发地理信息道路精度难以评价的问题,提出了一种基于影像匹配的道路精度评价方法。首先提取影像与自发地理信息中的道路交叉口作为控制点,并将对应的交叉口进行匹配,以同名控制点的均方根误差作为自发地理信息的道路精度;然后以两组控制点分别构建Delaunay三角网,利用两组控制点的对应关系对每个三角网进行仿射变换,从而实现对自发地理信息道路的几何纠正,以提高其精度。最后以郑州市的Open Street Map道路数据进行试验,结果表明本文算法能够有效提高自发地理信息的道路精度。展开更多
Based on GIS techniques,a climatology model,and several types of geographic data such as longitude,latitude,altitude,cold damage data in Guangxi were corrected according to specific geographic details of 1 km×1 k...Based on GIS techniques,a climatology model,and several types of geographic data such as longitude,latitude,altitude,cold damage data in Guangxi were corrected according to specific geographic details of 1 km×1 km.Considering growing conditions and cold-index of rice in Guangxi,the real-time monitoring and pre-warning on the occurrence,development and intensity and scope of rice in Guangxi were realized.The monitoring effects of damage process in middle and late May of 2009 was comparatively accordant with the actual situations.展开更多
文摘针对无矢量参考数据自发地理信息道路精度难以评价的问题,提出了一种基于影像匹配的道路精度评价方法。首先提取影像与自发地理信息中的道路交叉口作为控制点,并将对应的交叉口进行匹配,以同名控制点的均方根误差作为自发地理信息的道路精度;然后以两组控制点分别构建Delaunay三角网,利用两组控制点的对应关系对每个三角网进行仿射变换,从而实现对自发地理信息道路的几何纠正,以提高其精度。最后以郑州市的Open Street Map道路数据进行试验,结果表明本文算法能够有效提高自发地理信息的道路精度。
基金Supported by Guangxi National Science Foundation (0832204 )Guangxi Programs for Science and Technology Development(0816006-8)National Support Program for Science and Technology (2008BADB8B01)
文摘Based on GIS techniques,a climatology model,and several types of geographic data such as longitude,latitude,altitude,cold damage data in Guangxi were corrected according to specific geographic details of 1 km×1 km.Considering growing conditions and cold-index of rice in Guangxi,the real-time monitoring and pre-warning on the occurrence,development and intensity and scope of rice in Guangxi were realized.The monitoring effects of damage process in middle and late May of 2009 was comparatively accordant with the actual situations.
