V-代约束的结构保持空间插值算法 |
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引用本文: | 易琳,袁林旺,盛业华,李润超.V-代约束的结构保持空间插值算法[J].武汉大学学报(信息科学版),2015,40(6):823-828. |
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作者姓名: | 易琳 袁林旺 盛业华 李润超 |
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作者单位: | 1南京师范大学虚拟地理环境教育部重点实验室,江苏南京,210023 |
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基金项目: | 国家科技支撑计划资助项目(2012BAC07B01);国家自然科学基金资助项目(41271383);国土资源部海岸带开发与保护重点实验室开放基金资助项目(2013CZEPK08) |
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摘 要: | 针对现有空间插值方法对样点空间分布及结构约束考虑较少,难以保真原有空间数据的统计参量等问题,利用Voronoi和Delaunay的相互关系,建立了基于样点分布V-邻域结构的插值控制点自适应生成方法,构建了顾及样点分布结构与分布密度的结构保持空间插值方法。基于中国气象台站日均气温数据的方法验证与对比表明,相比于常用的空间插值算法,本文算法具有更好的结构自适应性,且对原始数据的空间统计特征具有更好的保持性。
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关 键 词: | V-邻域 结构约束 自适应 空间插值 |
收稿时间: | 2013-09-16 |
V-Neighborhood Interation-Constrained Structure-Preserving Spatial Interpolation Method |
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Institution: | 1Key Laboratory of VGE,Ministry of Education,Nanjing Normal University,Nanjing 210023,China |
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Abstract: | Existing spatial interpolation methods make little consideration of the irregular spatial distri-bution and structural constraints of sampling points,and rarely maintain the accuracy of spatial statis-tical parameters.In this paper,the correlation between Voronoi and Delaunay is used to construct aself-adaptive control point generating method based on the V-neighborhood structure of samplingpoints.On this basis,a structure-preserving interpolation method,which takes the structure con-straints of spatial and density distribution of sample points into consideration,was established.Themethod was validated with Chinese weather station network data.The results suggest that the algo-rithm has better structural self-adaptability and maintains more precisely statistical spatial features ascompared with the commonly used spatial interpolation algorithms. |
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