点状符号

然而传统的点状符号识别技术很少考虑有向点符号的识别问题。

However , conventional point symbol recognition technologies rarely take oriented - point symbol into account .

本文以地图符号的视觉变量和地图要素的表示等级为依据，详细介绍了地图设计专家系统中点状符号设计的推理模型。

On the basis of the visual variables of map symbol and the represent grade of map elements , this paper introduces the inference model of point symbol design in Map Design Expert System .

最后，论文介绍了如何将新的点状符号库应用于已有GIS系统中，并对应用的效果作了详细的评估。

Finally , this paper introduces how to apply the new dot-form symbol library to existing GIS , it also has an evaluation for the application .

电子海图系统点状符号库的设计方法研究

Research on Design Method for Dot-Form Symbol Library of ECDIS

地理信息系统点状符号库的设计与实现

The Design and Implementation of Dot-Form Symbol Library for GIS

地形图线状目标与点状符号的自动分离

Automatic Separation of Graph / Symbol in Topographic Map

彩色扫描地图点状符号的自动识别

The Recognition of Point Marks on Color Scanning Map

基于模板匹配的点状符号分离方法

The Method for Separating Point-Symbols Based on Cyclostyle Suiting

地形图点状符号的自动提取

Automated Extraction of Point Features on Digitized Terrain Maps

基于知识的点状符号自动识别

Automated Recognition of Point Element Based on Knowledge

地图点状符号及注记的自动配置

Automatic disposition of map DOT-SYMBOL and lettering

本文提出了一种从地形图扫描数据中提取点状符号的方法。

An algorithm for extracting point features on digitized maps is discussed in this paper .

矢量型点状符号库的设计

The Design of Vectorial Spot Symbol Base

对于点状符号库文件格式的设计，主要的考虑因素是效率和易用性。

When designing the file format , being efficient and easy to use are the goals .

地形图点状符号自动识别中不变性特征参数的提取

Invariant Features Extraction of Map Symbols

论文接着介绍了点状符号库文件格式和符号库管理软件的设计。

This paper also introduces the design of file format and management software for dot - form symbol library .

分别对点状符号、线状符号、面状符号的建库方法进行了较详细的介绍，对一些研究热点也有阐述。

So the details on how to develop point symbols , linear symbols and closed area symbols are introduced .

基于神经网络的点状符号自动识别研究，设计了点状符号自动识别流程。

Recognizing point map mark through nerve network . The flow of point map mark recognizing is designed in detail .

从矿图扫描图像中实现线划图形与文字注记及点状符号的相互分离，是矿图扫描识别数字化技术的基本要求。

It is the fundamental requirement of digitization and recognition from scanned mining maps to separate texts and symbols from linear features .

这主要是因为有向点符号与标准点状符号相比存在角度的偏移，使得许多传统的点状符号识别方法不再适用。

Its mainly comes from the existent of angle offset , which many of the traditional recognition technologies no longer apply to the new situation .

本文深入研究了点状符号、线状符号、面状符号的特点及构造原理，给出了地图符号库的定义。

In this paper , the author goes deep into the character and composition rule of point , line and area symbols , and the definition of Map Symbol Base is brought forward .

利用BP网络识别点状地图符号的研究

Some Innovations in the Recognition of Point Map Symbols with BP Neural Network

基于BP神经网络的点状地图符号识别

BP neural network based recognition of map symbol

使用专业科学计算软件Matlab提取点状地图符号的各类矩特征，并建立特征库，用来进行点状地图符号的检索。

Various moment features , the use of professional and scientific computing software Matlab extraction point map symbols , map symbols , similarity matching .

分析了点状地图符号的主要特征、构图规律，在此基础上选择具有RST不变性的不变矩特征对点状地图符号进行特征提取。

Analysis of the main features of the point map symbol , the composition discipline , based on moment invariant features of point map symbol feature extraction with RST invariance . 3 .

利用一种新的神经网络模型识别点状地图符号

Recognition of Point-shaped Map Symbols with a New Neural Network Model

基于结构分析的点状地图符号识别

Automatic Recognition of Point-Shaped Symbols in Scanned Maps

点状地图符号的神经网络识别

The recognition of map symbols with neural network

着重讨论了基于形状分析的点状地图符号识别。

Recognition of point-shaped map symbol based on shape analysis is expounded in this paper .

根据集合论和拓扑学的有关理论，导出了点状地图符号、线状地图符号和面状地图符号的数学定义。

A figure is composed of point and line cartographic symbols and it is the main body of map .