首页 | 本学科首页   官方微博 | 高级检索  
     检索      

利用流水矢量提取山脊线和山谷线特征点的方法
引用本文:黄炅怡,黄培之,李坚强.利用流水矢量提取山脊线和山谷线特征点的方法[J].测绘通报,2020,0(10):12-15.
作者姓名:黄炅怡  黄培之  李坚强
作者单位:1. 武汉大学遥感信息工程学院, 湖北 武汉 430079;2. 深圳大学计算机与软件学院, 广东 深圳 518060
基金项目:国家自然科学基金(61572330)
摘    要:本文在深入研究地表曲面函数的流水矢量模型后,根据山脊线具有分水性和山谷线具有合水性的物理特性,利用有关数学原理,推导出山脊点和山谷点是该点流水矢量正交地形断面上局部区域流水矢量模的极小值点;并以此为依据,提出了一种基于地形点流水矢量的山脊线和山谷线特征点的提取方法。该方法将传统的山脊点和山谷点的判别标准合二为一,使算法设计更加简单,程序执行效率得到提高。试验表明,该方法所提取的山脊线和山谷线候选点具有较好的抗噪力,且不受山脊线和山谷线走向的影响,所提取的山脊线和山谷线上的点与实际地形更加吻合。

关 键 词:山脊线  流水矢量  提取  极小值  特征点  
收稿时间:2020-04-27

Feature point extraction of ridge line and valley line from DEM based on falling vector
HUANG Jiongyi,HUANG Peizhi,LI Jianqiang.Feature point extraction of ridge line and valley line from DEM based on falling vector[J].Bulletin of Surveying and Mapping,2020,0(10):12-15.
Authors:HUANG Jiongyi  HUANG Peizhi  LI Jianqiang
Institution:1. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China;2. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China
Abstract:In this paper, after studying the falling vector of terrain surface function, the falling vector characteristics of ridge point and valley point are derived by using the relevant mathematical principles according to the physical characteristics of the water separation of ridge line and confluence of valley line. A new method of extracting the feature points of ridge line and valley line based on falling vector is proposed after investigating into existing method. This method takes the minimum value of falling vector norm on the vertical section of falling vector as the criterion to determine the ridge point and valley point. The experiment shows that the selected points of ridge line and valley line extracted by this method are more accurate and reliable than the existing method.
Keywords:ridge line  falling vector  extraction  minimum  feature point  
点击此处可从《测绘通报》浏览原始摘要信息
点击此处可从《测绘通报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号