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《Science of Surveying and Mapping》 2009-02
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Point distribution-based dual snake model in vector edge update

HAN Min, SUN Yang(School of Electronic and Information Engineering ,Dalian University of Technology ,Dalian 116023,China)  
Owing to the insufficient utilization of the prior knowledge during remote sensing images-based vector edge update in GIS, an improvement about dual snake model combined with points distribution is proposed in this paper. The mean edge points distribution is calculated using existing remote sensing images, depending on which, a mirror is generated to construct the symmetric vector edge to initial vector edge deriving from GIS data. Consequently, the mean vector edge between the dual vector edges lying in the double sides of the mirror is treated as the result. The innovation consists of the fact that the model presented here takes full advantage of prior knowledge available from remote sensing images and GIS data, which implements the compact incorporation between information of RS and GIS. Experiments are performed on vector edges and TM remote sensing image of Zhalong Wetland in China to validate the advantages of dual snake model with point distribution in vector edge update over the original snake. The result is approaching to manual approach.
【Fund】: 国家科技支撑计划资助项目(2006BAB14B05);; 国家重点基础研究发展计划项目(2006CB403405);; 国家自然科学基金项目(60674073)
【CateGory Index】: TP391.41
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