摘要
精密控制网测量中,气象因素对边长精度的影响不容忽视。文章针对测量机器人的主要误差来源,对影响精密控制网测量精度的主要因素进行分析:剖析了自动目标识别(ATR)的主要误差源,指出了ATR观测中应选择最佳观测条件以保证角度测量精度;结合实测数据详细分析了温度、气压、折光系数K对边长改正精度的影响,提出了在高精度测量中应精确测定气象因子和选择最佳观测时段测量的思路,并提出了利用三角高程网平差后高差求解各方向动态K值进行边长改正的方法,可有效提高边长改正的精度。最后实例验证了这些措施的可行性。
The effect of meteorological factors on side length accuracy can not be ignored in precise control surveying.In this paper,according to the main error sources of Georobot,the main factors that influence the accuracy of precise control surveying were analysed.The main error source of automatic target recognition（ATR）was analyzed and the best observing conditions of ATR observation were pointed out to ensure the precision of angle measurement.Combined with measure data,influence of temperature,pressure and refraction coefficient Kon the precision of length correction were discussed.The idea of choosing best observation periods and measuring meteorological factors were proposed,and the method of side length correction by solving dynamic Kvalues in each direction with the height diffence from adjustment of triangulation height network was put forward,which were finally verified with practical engineering examples for improving the accuracy of side-length correction.
出处
《测绘科学》
CSCD
北大核心
2014年第10期37-41,共5页
Science of Surveying and Mapping
关键词
测量机器人
自动目标识别
动态折光系数
气象改正
精度分析
georobot
Automatic Target Recognition（ATR）
dynamic refraction coefficient
meteorological correction
precision analysis
