Volume 8 Number 9 (Sep. 2013)
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JCP 2013 Vol.8(9): 2277-2283 ISSN: 1796-203X
doi: 10.4304/jcp.8.9.2277-2283

Design and Implementation of Drainage Network Extraction Algorithm Based on Binary Linear Regression

Dandan Su1, Guangsheng Liu1, Guangda Gao2, Jiawei Liu3, and Yingchen Meng13
1 Institute of Mineral Prognosis Based on Integrated Information, Jilin University, Changchun, China
2 College of Information Engineering, China University of Geosciences, Beijing, China
3 College of Urban and Environmental Sciences, Changchun Normal University, Changchun, China


Abstract—The flow directions of the extracted drainage network are more random based on random flow model. Binary linear regression method is applied to calculate the residual value at every point, and then the normalized residuals are used to prune reasonably as the variables. The terrains are distinguished automatically according to the normalized residuals, and the local catchment area threshold is determined based on each terrain feature. When there are two terrains in the experimental area, source density is large on mountainous terrain, and it is small on flat terrain. Eventually, the extracted result is consistent with the actual drainage network.

Index Terms—random flow model, binary linear regression, standardized residual, normalized residual

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Cite: Dandan Su, Guangsheng Liu, Guangda Gao, Jiawei Liu, and Yingchen Meng, " Design and Implementation of Drainage Network Extraction Algorithm Based on Binary Linear Regression," Journal of Computers vol. 8, no. 9, pp. 2277-2283, 2013.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
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