计算机工程2011，Vol.37Issue(11)：197-199,3.DOI:10.3969/j.issn.1000.3842.2011.11.068
基于多特征融合和极坐标变换的目标识别
Target Recognition Based on Multi-feature Fusion and Polar Coordinates Transformation
高文琦 1张复春 1李雁 1苏清贺2
作者信息
- 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
- 折叠
摘要
Abstract
This paper puts forward a method of target recogntion based on multi-feature integration and polar coordinates transformation.It uscs 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 ratc.关键词
目标识别/特征融合/极坐标/快速傅里叶变换Key words
target recogntion/ feature fusion/ polar coordinate/ Fast Fourier Transform(FFT)分类
信息技术与安全科学引用本文复制引用
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):197-199,3.
