Point target detection of infrared images with eigentargets

Ruiming Liu; Erqi Liu; Jie YangTianhao ZhangYuan Cao

首页> 外文期刊>Optical Engineering >Point target detection of infrared images with eigentargets

【24h】

Point target detection of infrared images with eigentargets

机译：Point target detection of infrared images with eigentargets

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相关主题

摘要

A novel detection method for infrared (IR) point targets based on eigentargets is presented. The conception of eigentargets is proposed by making reference to eigen-faces in the field of face recognition. After creating the target training images using the Gaussian intensity function, we refine our method and obtain eigentargets that are a group of eigenvectors of the training set. These eigenvectors are then used to calculate the target map, defined by a target map function, at every location in the image to be detected. The large values in the target map image indicate the presence of targets. In comparison with other commonly used detection methods, our method has better performance with better receiver operating characteristics, and larger signal-to-noise ratio (SNR) and background suppression factor.

著录项

来源
《Optical Engineering》 |2007年第11期|110502-1-110502-3-0|共3页
作者
Ruiming Liu; Erqi Liu; Jie YangTianhao ZhangYuan Cao;
展开▼
作者单位

Shanghai Jiaotong University, Institute of Image Processing and Pattern Recognition, No. 800 Dongchuan Road, Shanghai, 200240, China;

展开▼
收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类光学仪器;
关键词
target detection; infrared (IR) images; Gaussian intensity function; principal component analysis (PCA);

Point target detection of infrared images with eigentargets

摘要

著录项

相关主题

期刊订阅