Nonlinear Measurement Data Processing Based on Improved Damping Least Squares
Datum are the key of Digital Earth.In measurement, dealing with nonlinear models of observation datum, we may take their approximate values at observation values by Taylor series expansion, say, taking firstorder item as a linear function of classical adjustment. But requirements of observation data, processing and accuracy assessment are higher and higher with todays fast-growing of high-tech mapping and surveying. So study on nonlinear least squares adjustment has been paid more and more attention. Damping least squares, as a modified algorithm of Gauss-Newtons algorithm, is necessary to add a damping factor to improve the nature of a coefficient matrix. But it is difficult to choose a suitable damping factor, and needs to solve a group of linear equations repeatedly, In this paper, an improved damping least square was utilized for the non-linear processing of measurement datum in order to reduce a lot of computational workload.
Modified Marquardt method Nonlinear Parameter adjustment
Gui Ling Li
College of Architecture & Engineering, Jiaxing University,Jiaxing, 314001, Zhejiang, China
国际会议
上海
英文
2034-2038
2011-10-21（万方平台首次上网日期，不代表论文的发表时间）