一种基于水深点坡向关系的特征浅点提取方法  

Distilling Feature Shallow Points from Soundings Based on the Slope-Relationship

作　　者：王沫[1,2] 张立华[2] 于彩霞[1,2] 刘涛[3] 

机构地区：[1]信息工程大学地理空间信息学院,河南郑州450052 [2]大连舰艇学院海洋测绘系,辽宁大连116018 [3]海军出版社,天津300450

出　　处：《武汉大学学报（信息科学版）》2016年第2期208-213,共6页Geomatics and Information Science of Wuhan University

基　　金：国家自然科学基金(41471380);国家863计划(2012AA12A406)~~

摘　　要：针对当前手工作业选取水深特征浅点效率低、易发生遗漏等不足,提出了一种基于数字海图水深点坡向关系的特征浅点提取方法。在对水深数据进行加权Delaunay三角网构建的基础上,利用空间规则确定不同水深点间的坡向关系,提取水深点集的隐含特征线,最后实现水深特征浅点的自动提取。试验证明:本文方法有效可行,可明显提高水深特征浅点提取的效率,避免水深特征浅点的遗漏。Aimed at the resolving problems in selecting shallow sounding features by manual operations,such as low efficiency and easy omission,a new method for selecting features based on the slope-relationship from soundings in digital charts is put forward in the paper.By constructing a weighted Delaunay triangular network for soundings,the slope-relationship between different soundings can be confirmed by the spatial rule,and the latent lines from the soundings can be distilled,thus enabling automatic shallow sounding feature selection.Experiemental results show that this new method is an effective way to improve efficiency when distilling feature shallow soundings and avoid the omissions.

关 键 词：海图制图综合 DELAUNAY三角网 特征线 特征浅点 

分 类 号：P208[天文地球—地图制图学与地理信息工程]