Title :
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
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;
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
DOI :
10.1109/GCIS.2009.425
