多元统计分析的主成份分析方法是对多维矢量数据提取主要特征分量，以此达到压缩矢量维数的目的。
The principal component analysis in multivariate statistic analysis is a method of compressing the dimension of vector data by extracting principal typical components from sample data set.
论述了从地形图中提取等高线、对等高线矢量化以及通过矢量数据生成高程数据的实现方法。
In this paper, the methods of drawing contour line from terrain map, the vector of contour line and generating elevation data from vector data are discussed.
所以，对光谱数据进行特征提取、实现数据压缩是非常必要的，即将一个大光谱数据集表示为几个特征矢量的线性组合。
It is very necessary to extract spectrum feature and compress spectral data, that is, a large spectrum dataset can be represented by the linear combination of some eigenvectors.
栅格格式数据转换为矢量格式数据时必须提取原图像上包含的拓扑信息。
Is is necessary to abstract the topology information from preprocessed image while converting grid data into vector data.
本文通过分析遥感分类图栅格像元之间的关系，快速自动地提取矢量数据点及其连接信息，进而利用连接信息快速生成弧段，由弧段自动组建多边形并建立完整的拓扑关系。
In this paper, we analyzed the relations between pixel and pixel in the classified raster map. Based on the relations, all vector points and the connection information between them can be extracted.
通过矢量化提取等高线和高程点作为基础数据，构建三维地形。
Contour lines and elevation points are obtained by vectorization as basic data, which can be used to build three-dimension terrain.
文章给出了这些特征点的提取方法，对与表情变化无关的人脸的矢量化方法进行了研究，并对人脸特征数据库设计和优化进行了探讨。
It discusses the method of detecting these points, the expression-independent vectorization of human face and also the arrangement and optimization of the facial feature database.
文章给出了这些特征点的提取方法，对与表情变化无关的人脸的矢量化方法进行了研究，并对人脸特征数据库设计和优化进行了探讨。
It discusses the method of detecting these points, the expression-independent vectorization of human face and also the arrangement and optimization of the facial feature database.
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