Application of fitting estimation method in GPS height fitting

被引:1
|
作者
Cheng Qianwen [1 ]
Zhang Lu-ben [2 ]
Chen Honghua [1 ]
机构
[1] Nanjing Forestry Univ, Coll Civil Engn, Nanjing 210037, Jiangsu, Peoples R China
[2] Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210093, Peoples R China
来源
关键词
fitting estimation; least squares collocation; height anomaly fitting;
D O I
10.4028/www.scientific.net/AMR.694-697.2545
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The key point researched by many scholars in the field of surveying and mapping is how to use the given geodetic height H measured by GPS to obtain the normal height. Although many commonly-used fitting methods have solved many problems, they all value the pending parameters as the nonrandom variables. Figuring out the best valuations, according to the traditional least square principle, only considers its trend or randomness, which is theoretically incomprehensive and have limitations in practice. Therefore, a method is needed not only considers its trend but also takes randomness into account. This method is called the least squares collocation.
引用
收藏
页码:2545 / +
页数:2
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