| 奇异值特征抽取目标识别法 |
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| 引用本文： | 范建,李孝昌. 奇异值特征抽取目标识别法[J]. 系统工程与电子技术, 1993, 0(3) |
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| 作者姓名： | 范建 李孝昌 |
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| 作者单位： | 航空航天工业部二院二十五所(范建)，航空航天工业部二院二十五所(李孝昌) |
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| 摘 要： | 图像的代数特征是图像的一种固有的特征。每一幅图像都可以认为是一个矩阵,而矩阵的奇异值具有很多适合图像识别的特征。本文不仅研究了矩阵的奇异值的代数特征,而且找到一种将奇异值特征应用到目标识别中的方法,实验结果证明应用奇异值特征可以取得较好的识别效果。
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| 关 键 词： | 特征选择 矩阵 图像识别 目标识别 |
Singular Values Feature Extraction for Target Recognition |
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| Fan Jian and Li XiaochangBeijing Institute of Remote Sensing Equipment. Singular Values Feature Extraction for Target Recognition[J]. System Engineering and Electronics, 1993, 0(3) |
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| Authors: | Fan Jian and Li XiaochangBeijing Institute of Remote Sensing Equipment |
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| Affiliation: | Fan Jian and Li XiaochangBeijing Institute of Remote Sensing Equipment |
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| Abstract: | Algebraic features represent the intrinsic attributions of an image. Any image can be considered as a matrix. Singular values (SV) of the matrix have some important properties adaptable to image recognition. In this paper the SV algebraic features are proved, and a method to apply the SV feature to target recognition is described. The simulation results show that the SV feature has good performance of recognition. |
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| Keywords: | Feature extraction Singular values feature Circulation matrix. |
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