摘要
特征提取与选择是SARATR的关键技术之一。通过特征提取与选择可以有效地降低数据空间的维数,从而实现对SAR图像的快速、准确解译。本文首先给出特征提取与选择问题的定义及其研究现状,进而对当前常见的特征提取与选择方法进行总结。在此基础上,给出各算法的选取标准。最后探讨了特征提取与选择过程的发展趋势。
The feature extraction and selection is one of the key steps for SAR ATR. It can effectively reduce the dimensions of data space by means of the feature extraction and selection. Thus, SAR images can be interpreted quickly and accurately. In the beginning, the definition of the feature extraction and selection and the current research state are brought forward. In succession, the common feature extraction and selection algorithms for target recognition are summarized. Furthermore, the criteria for selecting a proper algorithm are introduced. Finally,the future directions in the process of feature extraction and selection are studied.
出处
《信号处理》
CSCD
北大核心
2008年第5期813-823,共11页
Journal of Signal Processing
