【Key words】 Information fusion； Feature-level information fusion； Neural Network； BP Network； Feature Choosing and Extraction； Target recognition； Airport recognition；
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压缩特征向量的维数，在较低维特征空间中进行分类器设计是特征选择与提取的目的。
To compress the dimensions of characteristic vector and make the design of classificatory in the characteristic space with lower dimensions is the purpose of characteristic selection and extraction.
整个识别过程包括字符定位、图像增强、字符倾斜校正、单个字符分割、归一化处理和特征选择与提取。
The aim of image pre-processing and feature extracting is to get feature vectors from tire-code characters.
本文研究了雷达目标识别过程中关于目标的编码、分类特征的提取与选择等问题。
A new method for extracting radar target pole features from its RCS is presented in this paper.
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