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A Method of Road Extraction in High-Resolution Remote Sensing Imagery Based on Object-oriented Image Analysis |
HU Jin-gang1, ZHANG Xiao-dong1, SHEN Xin1, ZHANG Chan2 |
(1. State Key Laboratory of Information Engineering in Surveying , Mapping and Remote Sensing , Wuhan University , Wuhan 430079, China; 2. School of Remote Sensing and Information Engineering ,Wuhan University , Wuhan 430079, China) |
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Abstract High-resolution remote sensing image could provide much detailed information of the surface of the ground. It becomes a hotpot of RS research to use the image analysis methods to fulfill object extraction and update the geography information database. Traditional pixel-level approaches merely utilize the spectral characteristic ignoring the abundant patial information. An object-oriented method is proposed in this paper: firstly the image is processed by segmentation to attain the image objects, then the knowledge is established according to the analysis of the spectral character, geometry character and the spatial relation of the roads in the image, finally the roads could be extracted by making use of the rules
defined in the knowledgebase. We choose the IKONOS image of Nanjing city as experiment data to verify the validity of the proposed method, the experiment result shows that it could obtain better effect compared with the traditional method.
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Received: 12 October 2005
Published: 27 September 2011
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