A Semi-automation Road Extraction Approach Based on Fast Marching Method and Mean Shift Algorithm

Author

Sun Xiao-gu ; Li Man-chun ; Liu Yong-xue ; Tan Lu ; Liu Wei

Author_Institution

Dept. of Geogr. Inf., Nanjing Univ., Nanjing, China

Volume

4

fYear

2009

fDate

19-21 May 2009

Firstpage

355

Lastpage

359

Abstract

A method for extracting road from high spatial resolution remote sensing imagery (HSRRSI) based on fast marching method and mean shift method is proposed in this paper. Firstly, the user inputs a set of nodes of the road. Secondly, preliminary partition on the imagery is achieved by mean shift method. Last, the roads are extracted between the nodes user has set by the implementation of fast marching method The test results for HSRRSI of IKONOS demonstrates that the novel method is robust and is capable of coping with the partial occlusion and false connectivity.

Keywords

computer vision; feature extraction; geographic information systems; geophysical signal processing; remote sensing; roads; traffic engineering computing; computer vision; fast marching method; geographic information system; high spatial resolution remote sensing imagery; mean shift algorithm; semi-automation road extraction; Data mining; Geographic Information Systems; Image resolution; Image segmentation; Intelligent systems; Level set; Remote sensing; Roads; Robustness; Sun;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems, 2009. GCIS '09. WRI Global Congress on

Conference_Location

Xiamen

Print_ISBN

978-0-7695-3571-5

Type

conf

DOI

10.1109/GCIS.2009.425

Filename

5209270