DocumentCode
2371053
Title
The analysis and experiments of least-squares method for settlements generalization
Author
Wang, Li ; Zhang, Jin ; Yao, Guohong
Author_Institution
Inst. of Geodesy & Geophys., Wuhan, China
fYear
2012
fDate
23-25 March 2012
Firstpage
210
Lastpage
214
Abstract
This paper built the generalization model and algorithm for city building groups according to city road network, utilizing geometry algorithm and least squares estimation. Automatic estimation of the relationship between neighboring single buildings is realized. We proposed the working flow of simplification, combination, re-simplification to determine feature points of buildings and calculate their approximate coordination. And automated chose the constraint conditions according to generalization parameter, then got the optimal constraint solving all at once basing on parameter estimation model with constrained conditions. We realized the synthetic operation including simplification, rotation, shifting, magnify, reduction and combination. The correctness of result has been proved through MATLAB programming.
Keywords
cartography; geographic information systems; least squares approximations; parameter estimation; town and country planning; China; GIS; Informatization of Surveying and Mapping System; MATLAB programming; approximate coordination calculation; city building groups; city road network; combination operation; feature points; geographic information system; geometry algorithm; least squares estimation method; magnify operation; parameter estimation model; reduction operation; relationship automatic estimation; rotation operation; settlements generalization model; shifting operation; simplification operation; working flow; Algorithm design and analysis; Buildings; Cities and towns; Geographic information systems; Least squares approximation; Mathematical model; Roads;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Technology (ICIST), 2012 International Conference on
Conference_Location
Hubei
Print_ISBN
978-1-4577-0343-0
Type
conf
DOI
10.1109/ICIST.2012.6221639
Filename
6221639
Link To Document