| 顾及线状要素综合要求的Morphing算法 |
| |
| 引用本文： | 谢天,李精忠,陈凯.顾及线状要素综合要求的Morphing算法[J].武汉大学学报(信息科学版),2018,43(5):792-797. |
| |
| 作者姓名： | 谢天 李精忠 陈凯 |
| |
| 作者单位： | 1.武汉大学资源与环境科学学院, 湖北 武汉, 430079 |
| |
| 基金项目： | 数字制图与国土信息应用工程国家测绘地理信息局重点实验室DM2016SC08国家自然科学青-基金41001229国家863计划41671448国家自然科学基金2012AA12A404 |
| |
| 摘 要： | 提出了一种基于弯曲结构匹配的线状要素Morphing方法。针对不同尺度下的线状要素，通过建立约束Delaunay三角网，根据三角形的不同特征构建能够表达弯曲特征层次性的多叉树。基于多叉树结构进行匹配得到对应弯曲，对对应弯曲进行重要性评价，以尺度为依据舍去次要弯曲，从而得到任意尺度下的中间图形。实验结果表明，所提出的利用弯曲结构匹配的线状要素Morphing方法满足线状要素的综合要求，能保持线状要素上的曲折系数和弯曲个数对比，实现光滑渐变的连续综合效果。
|
| 关 键 词： | 弯曲结构 Morphing 线状要素 多尺度表达 制图综合 |
| 收稿时间： | 2015-12-15 |
Morphing Algorithm for Linear Feature Considering Generalization Requirements |
| |
| Affiliation: | 1.School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China2.Key Laboratory of Geographic Information System, Ministry of Education, Wuhan University, Wuhan 430079, China3.Chengdu Research Institute of Surveying and Investigation, Chengdu 610081, China |
| |
| Abstract: | A linear feature Morphing method is proposed based on the fact that the spatial characteristic of linear element is represented by bent structure. First, for linear features at different scales, by construction and classification of Constrained Delaunay Triangulation, we can build the multiway trees to express the curves' bend hierarchical structure. Then, by the matching of multiway trees, we can get the bends corresponding relationship between two linear features at different scales. By the importance evaluation of matching bends, we can divide the linear element into different line segments. Last, different strategies are implemented for different type of bends. For the corresponding line segments, linear interpolation operation is adopted to exaggerate the small bend or shrink the big bend; for the no-matching segments, deletion operation is implemented. Experimental results show that the proposed Morphing method for linear features can meet the map generalization requirements, and keep the balance of curvature and quantity of bends, which finally achieving smooth and gradient continuous generalization of linear features. |
| |
| Keywords: | |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《武汉大学学报(信息科学版)》浏览原始摘要信息 |
|
点击此处可从《武汉大学学报(信息科学版)》下载全文 |
|
