共被期刊论文引用了2次
您的检索式：您选中1篇文献正在查看引证文献汇总
|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | 测边网坐标平差的加性乘性混合型误差模型解算显示文摘在大地测量数据处理领域,已有加性乘性混合型误差模型参数估计方法的有效性和适用性研究都是建立在模拟算例基础之上,尚无对加性乘性混合误差模型实际测量数据处理应用方面做出研究.文中首次将加性乘性混合型误差模型的参数估计方法应用到测边网平差中,推导基于该模型的平差公式.最后通过算例验证推导的公式在处理大地测量领域实际数据应用中的有效性和可行性. | 王乐洋 胡芳芳 | 2024 | 测绘工程2024，33，1： | 0 |
| 2 | Recent Advances in the Geodesy Data Processing显示文摘Geodetic functional models,stochastic models,and model parameter estimation theory are fundamental for geodetic data processing.In the past five years,through the unremitting efforts of Chinese scholars in the field of geodetic data processing,according to the application and practice of geodesy,they have made significant contributions in the fields of hypothesis testing theory,un-modeled error,outlier detection,and robust estimation,variance component estimation,complex least squares,and ill-posed problems treatment.Many functional models such as the nonlinear adjustment model,EIV model,and mixed additive and multiplicative random error model are also constructed and improved.Geodetic data inversion is an important part of geodetic data processing,and Chinese scholars have done a lot of work in geodetic data inversion in the past five years,such as seismic slide distribution inversion,intelligent inversion algorithm,multi-source data joint inversion,water reserve change and satellite gravity inversion.This paper introduces the achievements of Chinese scholars in the field of geodetic data processing in the past five years,analyzes the methods used by scholars and the problems solved,and looks forward to the unsolved problems in geodetic data processing and the direction that needs further research in the future. | Jianjun ZHU Leyang WANG Jun HU Bofeng LI Haiqiang FU Yibin YAO | 2023 | Journal of Geodesy and Geoinformation Science2023，6，3： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员