Scale and rotation invariant ship recognition using log-polar mapping and two-dimensional PCA

被引：1
|
作者：
Chao, Yi [1 ]
Zhao, Guangzhou [1 ]
Peng, Feng [2 ]
机构：
[1] Beijing Inst Control & Elect Technol, Beijing 100038, Peoples R China
[2] Beijing Inst Aerosp Informat, Beijing 100854, Peoples R China
来源：
MIPPR 2011: AUTOMATIC TARGET RECOGNITION AND IMAGE ANALYSIS | 2011年 / 8003卷
关键词：
Ship recognition; log-polar mapping; two-dimensional PCA; scale invariant; rotation invariant;
D O I：
10.1117/12.902762
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A novel scale and rotation invariant ship recognition method using log-polar mapping and two-dimensional principal component analysis (2DPCA) is proposed. Log-polar mapping is very useful for eliminating the rotation and scale effects. 2DPCA is used to extract ship feature from normalized log-polar image become scale and rotation invariant. Experimental results show that the proposed method has improved recognition performance.
引用
收藏
页数：6
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