摘要
针对现有面要素直线模式识别方法难以解决规则池塘中破碎区域的问题,提出了一种规则池塘群的复杂直线模式识别方法。首先,分析了规则池塘群的空间特征和认知特点,提出了“主次关系→并列关系→直线模式→复杂直线模式”的多层次认知顺序;其次,设计了主次关系池塘组、并列关系池塘组、直线模式池塘群的识别方法;最后,构建了复杂直线模式池塘群的识别模型。试验表明:本文方法能够消除破碎区域对规则池塘群直线模式提取的不利影响,有效提升复杂直线模式识别的质量。
The existing polygon linear pattern recognition method is incapable facing to the broken area in the regular pond group.In order to solve the problem,a complex linear pattern recognition method for the regular pond group is proposed.Firstly,the spatial characteristics and cognitive characteristics of the regular pond group are analyzed,and the multi-level cognitive order,which is from major-and-minor relationship,parallel relationship,linear pattern to complex linear pattern,is proposed.Secondly,the identification methods of major-and-minor relationship,parallel relationship,and linear pattern are designed.Finally,the identification model of complex linear pattern pond group is constructed.Experiments show that the proposed method can eliminate the adverse effects of broken area on the linear pattern extraction of regular pond groups,and effectively improve the quality of complex linear pattern recognition.
作者
刘呈熠
武芳
巩现勇
行瑞星
罗登瀚
LIU Chengyi;WU Fang;GONG Xianyong;XING Ruixing;LUO Denghan(Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, China)
出处
《测绘学报》
EI
CSCD
北大核心
2020年第2期256-266,共11页
Acta Geodaetica et Cartographica Sinica
基金
国家自然科学基金(41471386
41801396)~~
关键词
制图综合
模式识别
多层次认知
主次关系
复杂直线模式
cartographic generalization
pattern recognition
multi-level cognition
major-and-minor relationship
complex linear pattern
