一种线面混合河网数据的网络拓扑化方法
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摘要
大数据环境下的地理数据呈现出多源多尺度的特性。线面混合的多源河网数据适合于地图编绘、土地利用等应用,但是对于河网连通性分析、流域运输规划等依赖于河网网络拓扑的应用支持不足。本文通过分析混合河网数据的特点和其物理意义,提出一种基于数学形态学原理的河流中轴线提取方法。试验结果显示,该方法所提取的中轴线能保持良好的连续、光滑特性,对于原本的由线状河流栅格化得到的单线条河流也能够很好的保留,几何特征和拓扑特征完备。可直接对提取结果进行水文空间分析,为河网方面的相关研究提供了基础。
Geographic data in the era of big data presents multi-source and multi-scale characteristics. The multi-source river network data mixed by line surface is suitable for map editing,land use and other applications, but it is insufficient for the river network connectivity analysis, river basin transportation planning and other applications that rely on the river network topology.Based on the analysis of the characteristics and physical meaning of the mixed river network data, this paper proposes a method for extracting the central axis of the river based on the mathematical morphology principle. The test results show that the central axis extracted by the method is more continuous and smooth, and the single-line river obtained by the rasterization of the linear river can be well preserved, while the geometric features and topological features are complete. The hydrological space analysis can be directly carried out on the extraction results, which provides a basis for relevant research on the river network.
Geographic data in the era of big data presents multi-source and multi-scale characteristics. The multi-source river network data mixed by line surface is suitable for map editing,land use and other applications, but it is insufficient for the river network connectivity analysis, river basin transportation planning and other applications that rely on the river network topology.Based on the analysis of the characteristics and physical meaning of the mixed river network data, this paper proposes a method for extracting the central axis of the river based on the mathematical morphology principle. The test results show that the central axis extracted by the method is more continuous and smooth, and the single-line river obtained by the rasterization of the linear river can be well preserved, while the geometric features and topological features are complete. The hydrological space analysis can be directly carried out on the extraction results, which provides a basis for relevant research on the river network.
引文
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[4]乔庆华,吴凡.河流中轴线提取方法研究[J].测绘通报,2004,(05):14-17.
[5]艾廷华,郭仁忠.基于约束Delaunay结构的街道中轴线提取及网络模型建立[J].测绘学报,2000,(04):348-354.
[6]胡鹏,游涟,胡海.地图代数概论[M].北京:测绘出版社,2008:85.
[7]郭邦梅,王涛,赵荣,梁勇.面状要素骨架线提取算法的研究[J].测绘通报,2010,(12):17-19+53.
[8]胡鹏,王海军,邵春丽,胡海.论多边形中轴问题和算法[J].武汉大学学报(信息科学版),2005,(10):853-857.
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[10]王娜,杜世培.基于数学形态学的细化算法[J].贵州工业大学学报(自然科学版),2007,36(2):60-64.
[11]江岭,杨昕,汤国安.基于欧氏区域分配的面状河流中轴线提取方法研究[J].测绘通报,2011,(09):21-24.
[12]艾廷华,郭仁忠.支持地图综合的面状目标约束Delaunay三角网剖分[J].武汉大学学报(信息科学版),2000,25(1):35-41.
[13]艾自兴,毋河海,艾廷华,等.河网自动综合中Delaunay三角的应用[J].地球信息科学学报,2003,5(2):39-42.
[2]余放,陈盛双,李石君,等.大数据环境下的多源数据演化更新研究[J].计算机科学,2016,43(12):189-194.
[3]ZHAO Junkai,LI Lixian,ZHANG Aishe,et al.A new approach for the health assessment of river systems based on interconnected water system networks[J].Journal of Resources and Ecology,2017,8(3):251-257.
[4]乔庆华,吴凡.河流中轴线提取方法研究[J].测绘通报,2004,(05):14-17.
[5]艾廷华,郭仁忠.基于约束Delaunay结构的街道中轴线提取及网络模型建立[J].测绘学报,2000,(04):348-354.
[6]胡鹏,游涟,胡海.地图代数概论[M].北京:测绘出版社,2008:85.
[7]郭邦梅,王涛,赵荣,梁勇.面状要素骨架线提取算法的研究[J].测绘通报,2010,(12):17-19+53.
[8]胡鹏,王海军,邵春丽,胡海.论多边形中轴问题和算法[J].武汉大学学报(信息科学版),2005,(10):853-857.
[9]崔凤奎,王永森.二值图像细化算法的比较与改进[J].洛阳工学院学报,1997,(4):48-52.
[10]王娜,杜世培.基于数学形态学的细化算法[J].贵州工业大学学报(自然科学版),2007,36(2):60-64.
[11]江岭,杨昕,汤国安.基于欧氏区域分配的面状河流中轴线提取方法研究[J].测绘通报,2011,(09):21-24.
[12]艾廷华,郭仁忠.支持地图综合的面状目标约束Delaunay三角网剖分[J].武汉大学学报(信息科学版),2000,25(1):35-41.
[13]艾自兴,毋河海,艾廷华,等.河网自动综合中Delaunay三角的应用[J].地球信息科学学报,2003,5(2):39-42.