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土地利用数据综合缩编中的关键算法探究

发表时间:2010-05-15  浏览量:1460  下载量:749
全部作者: 朱正邦,艾廷华
作者单位: 武汉大学资源与环境科学学院
摘 要: 根据土地利用数据的特点,特别是面状地类图斑全覆盖、无缝隙、无重叠、语义多层次等特点,系统地探究土地利用数据综合缩编的支撑性算法,包括条带状图斑中轴化及其剖分、非拓扑邻近图斑合并、拓扑邻近图斑合并、小图斑剔除和图斑边界化简等。其中部分算法能够实现自动化,但也有部分需要手工作业。结合工程实现了这些算法,并且研究算法应该遵循的重要原则。试验结果表明:这些算法能够很好地完成土地利用数据综合缩编。
关 键 词: 土地资源管理;多尺度;综合;土地利用;算法
Title: The research on key algorithms in land-use data generalization
Author: ZHU Zhengbang, AI Tinghua
Organization: School of Resource and Environment Sciences, Wuhan University
Abstract: According to the characteristics of land-use data, such as whole area earth polygon covering, no seam, no overlapping and multi-level semantics, this paper investigates the algorithms of land-use data generalization systematically, including generation of skeleton edges, aggregation of non-topological neighborhood parcels, amalgamation of the topological neighborhood ones, removing insignificant parcels and simplification of the boundary. Some of these algorithms can be automated, but the others are operated manually. Nonetheless, the paper implements all these algorithms and draws up the corresponding principal on the basis of project. It results in that these algorithms are effective in solving the problems in land-use data generalization.
Key words: land resource management; multi-scale; generalization; land-use; algorithm
发表期数: 2010年5月第9期
引用格式: 朱正邦,艾廷华. 土地利用数据综合缩编中的关键算法探究[J]. 中国科技论文在线精品论文,2010,3(9):897-902.
 
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