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Coding method and application for complicated river network based on surveyed river network
Chen XL(陈雪莲); Jin, Feng
作者部门工业信息学研究室
会议名称2011 4th International Symposium on Computational Intelligence and Design, ISCID 2011
会议日期October 28-30, 2011
会议地点Hangzhou, China
会议主办者IEEE (Hong Kong) Computational Intelligence Chapter; Bristol University; Zhejiang University
会议录名称Proceedings - 2011 4th International Symposium on Computational Intelligence and Design, ISCID 2011
出版者IEEE Computer Society
出版地Piscataway, NJ, USA
2011
页码47-50
收录类别EI
EI收录号20115114606210
产权排序1
ISBN号978-0-7695-4500-4
关键词Bifurcate River Network Crossed River Network Coding Of River Network Coding Of Lake And Reservoir
摘要The paper takes National Topographic Database by assuming vector diagram water system with 1:250,000 scale as a data source. A reasonable and efficient coding method for river network is presented, which can solve the coding problem of converged river network, bifurcate river network, crossed river network and water of lake and reservoir. The coding method can reflect the topology of river network and can locate any stream segment of river network directly and operate the topology of river network effectively. At the last, this coding method is applied to parts of stream segments in Taihu Lake basin. As the results, the coding method is made by the paper can solve the coding problem of complicated river network, the upstream-downstream relationship can be easily identified through the coding of stream segment, the self-replicating coding has excellent expansibility and high efficiency, and can be handled easily by the computer.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/19961
专题工业信息学研究室
通讯作者Chen XL(陈雪莲)
作者单位1.Department of Information Engineering, Liaoning Communicate College, Shenyang 110122, China
2.Department of Industrial Control System, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China
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Chen XL,Jin, Feng. Coding method and application for complicated river network based on surveyed river network[C]//IEEE (Hong Kong) Computational Intelligence Chapter; Bristol University; Zhejiang University. Piscataway, NJ, USA:IEEE Computer Society,2011:47-50.
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