Map pattern recognition is an important research direction in mapping automation now. Recognizing map information automatically from scanning map by computer carves out a new way for map digital.
地图模式识别是目前制图自动化的一个重点研究方向，利用计算机从扫描地形图上识别和提取地图信息为地图数字化开辟了新的途径。
Self Organizing Map is a method of artificial neural network, which implements pattern recognition and data clustering simultaneously.
自组织特征映射是一种人工神经网络方法，可以同时实现模式识别和数据分类。
Self organizing feature map (SOM) network can extract the internal features of parameter by self organizing and reflect them on the classified map. It can be used in problems of pattern recognition.
自组织特征映射(SOM)神经网络能通过自组织有效地提取出各特征参数间的内在特征并映射到分类模板上，它可以用于各种模式识别问题。
Based on theories of Computer Graphics, Digital Image Processing, Pattern Recognition and combined characteristic of geological contour-map, we present one kind of intelligent tracking algorithm.
依据计算机图形学、数字图像处理和模式识别理论，并结合地质等值线图的特点，给出了一种图像智能跟踪算法。
Based on theories of Computer Graphics, Digital Image Processing, Pattern Recognition and combined characteristic of geological contour-map, we present one kind of intelligent tracking algorithm.
依据计算机图形学、数字图像处理和模式识别理论，并结合地质等值线图的特点，给出了一种图像智能跟踪算法。
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