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.
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.
基于神经网络的点状地图符号自动识别研究，设计了点状符号识别流程。
The recognition of point map mark by using neural network is introduced in this paper together with the flowchart of the method.
最后，介绍了如何将新的点状符号库应用于现有电子海图系统中，并对应用的效果作了详细的评估。
Finally, how the symbol library is applied is Electronic Chart Displaying and Information System (ECDIS) is introduced and the application results are evaluated in details.
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.
不同事物定位符号传递量化信息的方法不同，展现点状事物量化信息主要方法是量化点位符号法；
Different graph symbols transfer information in different manners. The quantitative information of the point object is shown by the quantitative point location;
不同事物定位符号传递量化信息的方法不同，展现点状事物量化信息主要方法是量化点位符号法；
Different graph symbols transfer information in different manners. The quantitative information of the point object is shown by the quantitative point location;
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