An algorithm of small and dim target detection in deep space background

摘要：

In this article, a method of image registration based on Feature Space of Distance (FSD) between points is firstly introduced into dim and small target detection in deep space background. This algorithm uses the feature space to calculate the transform parameters and realizes the dim and small target detection through the suppression of the star background. The experimental results indicate that our method is effective and can be applied to automatic target recognition (ATR) system.

作者: Hong Zhang Yicheng Bai LI Junwei

作者单位: Image Processing Center,Beihang University,Beijing,China,100191 National Key Laboratory on Optical Features of Environment and Target,Beijing,China,100854 Institute

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Information and Automation(2009年 IEEE信息与自动化国际学术会议)

会议地点: 珠海、澳门

会议语种:英文

页码: 985-989

在线出版日期: 2009-06-22（万方平台首次上网日期，不代表论文的发表时间）