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

Autor: Liu Wei, Sun Xiao-gu, Li Manchun, Liu Yong-xue, Tan Lu
Rok vydání: 2009
Předmět:
Zdroj: 2009 WRI Global Congress on Intelligent Systems.
DOI: 10.1109/gcis.2009.425
Popis: 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.
Databáze: OpenAIRE