| 国家重力基本网的优化设计 |
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| 引用本文： | 孙海燕, 李斐, 晁定波. 国家重力基本网的优化设计[J]. 武汉大学学报 ( 信息科学版), 2000, 25(6): 496-499. |
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| 作者姓名： | 孙海燕 李斐 晁定波 |
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| 作者单位： | 1 武汉测绘科技大学测绘遥感信息工程国家重点实验室, 武汉市珞喻路129号, 430079;;2 中国科学院测量与地球物理研究所, 武汉市徐东路174号, 430077;;3 武汉测绘科技大学地学测量工程学院, 武汉市珞喻路129号, 430079 |
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| 基金项目： | 国家自然科学基金资助项目!(497742 12 )，国家测绘局测绘科技发展基金资助项目!(980 0 9)，测绘遥感信息工程国家重点实验室开放研究 |
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| 摘 要： | 拟建的国家重力基本网由100个点组成,其中有15个基准点(绝对重力点)、85个基本点(相对重力点),近200条测线。本文首先对初始设计方案进行了评估,然后根据精度、可靠性、费用等优化目标提出了重力网优化设计需顾及的几条原则。在图形优化设计中,用模拟法计算,删除了部分对精度贡献不大的测线,得到一个略低于精度要求的设计方案。在此基础上分别用解析法和模拟法进行二级优化设计,重新分配观测值的权,得到两个满足要求的设计方案。
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| 关 键 词： | 重力网 优化设计 解析法 模拟法 |
| 收稿时间： | 2000-06-28 |
| 修稿时间： | 2000-06-28 |
Optimization of the Fundamental Gravity Network of China |
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| SUN Haiyan, LI Fei, CHAO Dingbo. Optimization of the Fundamental Gravity Network of China[J]. Geomatics and Information Science of Wuhan University, 2000, 25(6): 496-499. |
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| Authors: | SUN Haiyan LI Fei CHAO Dingbo |
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| Affiliation: | 1 National Laboratory for Information Engineering in Surveying, Mapping and Romote Sensing, WTUSM, 129 Luoyu Road, Wuhan, China, 430079;;2 Institute of Geodesy and Geophysics, Chinese Academy of Science, 174 Xudong Road, Wuhan, China, 430077;;3 School of Geo-science and Surveying Engineering, WT USM, 129 Luoyu Road, Wuhan, China, 430079 |
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| Abstract: | The national gravity network to be built is composed of 100 points,15 absolute gravity points and 85 relative gravity points,and nearly 200 observations.This paper evaluated the primary scheme firstly.Considered the target of optimization design for precision,reliability and cost,some principles that were suitable for gravity network designing were proposed.During the first order optimal designing,the simulative method was used to find and delete the observation which had little influence on the precision of the network.After that we got a scheme whose precision was little lower than that of being required.Based on this plan we used the analytic method and simulative method to do the second order optimal design and got tow schemes.Both of the schemes satisfied the requirement of precision and had a higher reliability and a lower cost relatively. |
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| Keywords: | gravity network optimization analytic method simulative method |
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