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基于多特征融合和极坐标变换的目标识别
引用本文:高文琦,张复春,李雁,苏清贺. 基于多特征融合和极坐标变换的目标识别[J]. 计算机工程, 2011, 37(11): 197-199. DOI: 10.3969/j.issn.1000.3842.2011.11.068
作者姓名:高文琦  张复春  李雁  苏清贺
作者单位:1. 中国人民解放军空军航空大学航空理论系,长春,130022
2. 中国人民解放军空军航空大学特种专业系,长春,130022
摘    要:提出一种基于多特征融合和极坐标变换的目标识别方法。利用多特征融合方法,从原始图像中提取待识别目标实现维数压缩任务;引入极坐标变换和快速傅里叶变换相结合的方法,确定变换后的不变特征矩阵;通过计算不变特征矩阵和模板特征矩阵的相关性对目标进行分类识别。实验结果证明,该目标识别方法有较好的可靠性和较高的识别正确率。

关 键 词:目标识别  特征融合  极坐标  快速傅里叶变换
收稿时间:2010-11-04

Target Recognition Based on Multi-feature Fusion and Polar Coordinates Transformation
GAO Wen-qi,ZHANG Fu-chun,LI Yan,SU Qing-he. Target Recognition Based on Multi-feature Fusion and Polar Coordinates Transformation[J]. Computer Engineering, 2011, 37(11): 197-199. DOI: 10.3969/j.issn.1000.3842.2011.11.068
Authors:GAO Wen-qi  ZHANG Fu-chun  LI Yan  SU Qing-he
Affiliation:b(a.Department of Aviation Theory;b.Department of Specialty,Aviation University of Air Force,Changchun 130022,China)
Abstract:This paper puts forward a method of target recognition based on multi-feature integration and polar coordinates transformation.It uses multi-feature fusion method to extract from the original image to be identified to achieve the objective dimension of compression tasks.The polar coordinate and Fast Fourier Transform(FFT) method are introduced to determine the invariant features of the transformed matrix.The targets are classified and recognized by calculating the same correlation of the characteristic matrix and the template features matrix.Experimental results show that this method has good reliability and high recognition rate.
Keywords:target recognition  feature fusion  polar coordinate  Fast Fourier Transform(FFT)
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