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| 引用本文： | 蔡士毅,李博峰,石德斌,刘成,沈云中.???????????·??????????????[J].大地测量与地球动力学,2008,28(1):114-117. |
| 作者姓名： | 蔡士毅 李博峰 石德斌 刘成 沈云中 |
| 作者单位： | 1. 同济大学测量与国土信息工程系,上海,200092 2. 铁道第三勘察设计院集团有限公司航遥测绘分院,天津,300251 3. 同济大学测量与国土信息工程系,上海,200092;现代工程测量国家测绘局重点实验室,上海,200092 |
| 基金项目： | 国家自然科学基金(40674003) |
| 摘 要： | ????????????????????·?????????????????????: ?????????????????????????????ü???????????;?????????У???Baarda???????????????????????Helmert???????????????????????????????? ?????????????÷???????Ч????????????????????? |
| 关 键 词： | ???????????· ?????? ??????? ?????? ??????????? |
| 文章编号： | 1671-5942（2008）01-0114-04 |
| 收稿时间： | 2007-09-21 |
| 修稿时间： | 2007年9月21日 |
DATA PROCESSING IN PRECISION SURVEYING OF BALLASTLESS TRACK HIGH-SPEED RAILWAY |
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| Cai Shiyi,Li Bofeng,Shi Debin,Liu Cheng,Shen Yunzhong.DATA PROCESSING IN PRECISION SURVEYING OF BALLASTLESS TRACK HIGH-SPEED RAILWAY[J].Journal of Geodesy and Geodynamics,2008,28(1):114-117. | |
| Authors: | Cai Shiyi Li Bofeng Shi Debin Liu Cheng Shen Yunzhong |
| Institution: | 1)Department of Surveying and Geo informatics, Tongji University, Shanghai 2000922Dept. of Remote Sensing and Surveying and Mapping of the Third Surveying and Design Institute Ltd. Co., Tianjin 3002513)Key Laboratory of Advanced Surveying Engineering,SBSM, Shanghai 200092 |
| Abstract: | A data processing method for the precision surveying of ballastless track high-speed railway is put forward:first, choosing the compatible points in the control network by quasi-stable adjustment, then, adjusting the control network with the adjustment model of indirect observation in which the Baarda gross errors detection and Helmert variance component estimation are used. This kind of software for precision surveying data processing has been developed and tested by use of real surveying data.The data processing results show that the adjustment accuracy and reliability of the control network can be improved with this method. |
| Keywords: | ballastless track high-speed railway adjustment of indirect observations steady balancing adjustment gross errors detection variance component estimation |
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