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彩色扫描地图点状符号的自动识别
引用本文:骆剑承,周成虎,赵千钧,万庆.彩色扫描地图点状符号的自动识别[J].地球信息科学,1999,1(2):57-62.
作者姓名:骆剑承  周成虎  赵千钧  万庆
作者单位:中国科学院地理研究所资源与环境信息系统国家重点实验室,北京,100101
摘    要:本文初步探讨了彩色扫描地图上点状符号自动识别的方法及软件设计的模型和框架.彩色扫描地图上规则符号的主要视觉特征是颜色、形状及大小.识别符号建立在符号模式库的基础上,根据模式库中提供的颜色类型,通过颜色分层方法去寻找彩色扫描地图上的目标,然后提取其轮廓线,获取形状和大小等特征量,最后用符号特征相量与模式库中的特征相量相匹配,对符号进行判别分类,并通过坐标转换,输出符号的中心点地理坐标及符号的其他对应属性.本文最后以彩色地图上电信号强度符号的识别为实例,论述了具体应用系统的设计和开发.

关 键 词:彩色扫描地图  点状符号  识别  

The Recognition of Point Marks on Color Scanning Map
Luo Jiancheng Zhou Chenghu Zhao Qianjun Wan Qing.The Recognition of Point Marks on Color Scanning Map[J].Geo-information Science,1999,1(2):57-62.
Authors:Luo Jiancheng Zhou Chenghu Zhao Qianjun Wan Qing
Institution:State Key Lab of Resources & Environment Information System, CAS, 100101
Abstract:The paper mainly outlines the recognition method of point marks in color scanning maps and its implemented conception of software model and frame. The method is based on the theory of pattern recognition. On color scanning map, the main features of point marks include color, shape and size. Before mark recognition, the mark pattern base, in which the most important features of patterns are predefined, should be created. The main flux of recognition is described as below: firstly, pixel by pixel and line by line, the color of pixels on maps is matched to the colors of patterns in the pattern base, the objects marked on maps are divided from background. Then, after the edge lines of an object are traced and extracted, the shapes and sizes of the objects, which are the other features of the marks, can be calculated. In the end, these features of the objects are matched to the predefined features of the patterns in the base. If the main features of an object are nearly of alike in a range to those of the patterns in base, this object can be classified into this class of the pattern. Finally, the paper uses the application system of Electricity Information Intensity Mark Recognition as a case to profound the designing and developing method of Mark Recognition on practical case.
Keywords:: Color scanning map Point mark Recognition  
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