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新型格网DEM等高线生成技术与方法
引用本文:王春,李虎,杨军生,杨灿灿.新型格网DEM等高线生成技术与方法[J].地球信息科学,2015,17(2):160-165.
作者姓名:王春  李虎  杨军生  杨灿灿
作者单位:1. 滁州学院安徽省地理信息集成应用协同创新中心,滁州 2390002. 宁波市规划局东钱湖旅游度假区分局,宁波 315121
基金项目:国家自然科学基金面上基金项目“融合地形结构的DEM质量分析研究”(40971230);国家自然科学基金青年基金项目“DEM地形描述误差的区域差异性研究”(41001301);国家自然科学基金青年基金项目“多源多尺度DEM地表形态精度量化分析研究”(41201415)。
摘    要:以格网DEM数据为基础,生成具有良好保凸性、光滑性、平顺性特征的高质量等高线,已逐渐成为制作等高线图的重点。鉴于现有技术方法在沟道、山脊等地形变化部位生成的等高线中存在生硬、相交、异常闭合等问题,本文以黄土丘陵1:5万不同格网分辨率DEM为例,采用对比分析方法,建立了基于DEM格网加密技术的高质量等高线生成方法。实验表明:(1)采用以4×4 DEM格网单元为搜索圆的完全规则样条函数插值法,以可视化时图面0.1 mm的实际距离为加密DEM的格网分辨率值,对DEM格网进行加密处理后生成的等高线具有更为理想的保凸性、光滑性和平顺性特征;(2)对于已知综合尺度的地形,存在最优DEM格网分辨率阈值,若要高质量地再现原始等高线,则实际DEM格网分辨率不得低于最优DEM格网分辨率阈值。

关 键 词:DEM  等高线  地形描述误差  地表形态精度  地形图  
收稿时间:2014-06-19

Study on Generation Technique of High Quality Contour Lines Based on Grid DEM
WANG Chun,LI Hu,YANG Junsheng,YANG Cancan.Study on Generation Technique of High Quality Contour Lines Based on Grid DEM[J].Geo-information Science,2015,17(2):160-165.
Authors:WANG Chun  LI Hu  YANG Junsheng  YANG Cancan
Institution:1. Anhui Center for Collaborative Innovation in Geographical Information Integration and Application, Chuzhou University, Chuzhou 239000, China2. Ningbo Planning Bureau Dongqian Lake Branch, Ningbo 315121, China
Abstract:DEM-based generation of high quality contours with properties of convexity, smoothness and flatness has gradually become a key research area for creating contour maps. The existing generation methods have some deficiencies including hardness, intersection and abnormal closure of contours generated in the terrain change areas, such as channels and ridges. In view of the above-mentioned facts, taking a 1:50 000 DEM in the loess hilly region as the test data set, this paper analyzes the basic conditions of reconstruction contours based on densified DEM grid with high quality and efficiency, and examines the accuracy of different interpolation approaches in the process of this reconstruction. Utilizing the comparative analysis, this paper proposes a novel method to generate and represent contours with high quality based on densified DEM grid scheme and terrain shading technique. Experiment results show that: (1) the interpolation approaches include bilinear function, cubic convolution, local quadratic polynomial, and completely regularized spline function. In view of the extreme values, the discrete degree, and the spatial distribution of elevation numerical error, regularized spline function is the optimal interpolation method to reconstruct surface morphology, followed by local quadratic polynomial, cubic convolution, and bilinear interpolation. (2) The contours, which are generated by densified DEM grid via the complete regularized spline function with taking 4×4 DEM grid cells as a search circle, are more accurate and smoother. In the above process, the resolution of densified DEM grid is the actual distance of 0.1mm in the visualized maps. (3) For the terrain with a known generalization scale, there exists an optimal resolution threshold for the DEM. To reproduce the original contours with high quality, the corresponding resolution of DEM cannot be lower than the optimal threshold. (4) The superposition technique between contours and DEM hillshadings attached with a white mask could effectively enhance the three-dimensional effect of contour maps and hence make high quality contour maps incorporating scalability and imaginability.
Keywords:DEM  contours  terrain representation error  morphology precision of surface  topographic map
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