DocumentCode
2444777
Title
Research on parmeters of acquisition model based on non-linear least squares method
Author
He, Cheng ; Feng, Zhongke
Author_Institution
Inst. of GIS RS & GPS, Beijing Forestry Univ., Beijing, China
fYear
2011
fDate
24-26 June 2011
Firstpage
1499
Lastpage
1502
Abstract
This paper according to problems existed in improper data processing and closed error contained in the model when building models with logarithmic, power function and hyperbolic function; In precision estimation of growing stock volume, there is no scientific model for precision estimation; to address these problems, the paper would research volume model parameters based on nonlinear least square method and additional constraints of nonlinear least square method; it can be obtained that modeling with additional restrictions can effectively improve the accuracy of model, eliminating closed error and evaluating model with volume precision could be able to effectively estimate the accumulation error.
Keywords
estimation theory; least squares approximations; stock markets; acquisition model; data processing; growing stock volume; hyperbolic function; logarithmic; nonlinear least square method; nonlinear least squares method; power function; precision estimation; research volume model parameter; Biomass; Data models; Forestry; Global Positioning System; Least squares methods; Presses; Solid modeling; Nonlinear least-squares regression; Nonlinear least-squares regression with constraint; Precision analysis; Stand volume;
fLanguage
English
Publisher
ieee
Conference_Titel
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9172-8
Type
conf
DOI
10.1109/RSETE.2011.5964569
Filename
5964569
Link To Document