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

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.

关键词： Ship recognition log-polar mapping two-dimensional PCA scale invariant rotation invariant

作者: Yi Chao Guangzhou Zhao Feng Peng

作者单位: Beijing Institute of Control and Electronic Technology, Beijing 100038, China Beijing Institute of Aerospace Information, Beijing 100854, China

会议类型: 国际会议

会议名称: 第七届多光谱图象处理与模式识别国际学术会议

会议地点: 桂林

会议语种:英文

页码: 1-6

在线出版日期: 2011-11-01（万方平台首次上网日期，不代表论文的发表时间）