Application of Robust Estimation in Sub-pixel Location

摘要：

The least square estimation is widely used in parameter estimation.When the measurement error submits to Gaussian distribution,as a maximum likelihood estimate,the precision of the least squares estimation is high,otherwise, especially when the gross error exist,the precision of the estimation is lower.The robust estimation is a parameter estimation that some suitable estimation method is been used to relieve the impact of gross error when it is inevitable and find out the optimal parameter or the parameter nearby.The robust estimation algorithm is injected into sub-pixel locating.As a result,the impact of impulse noise could be reduced greatly and the precision of sub-pixel location could be higher.

关键词： robust estimation least square fit sub-pixel

作者: Zhou Chunlei Yan Shuhua Shen Shaowei Li E

作者单位: College of Mechantronics Engineering and Automation,National University of Defense Technology,Changsha 410073,China

会议类型: 国际会议

会议名称: 第八届国际电子测量与仪器学术会议(Proceedings of 2007 8th International Conference on Electronic Measurement & Instruments)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-08-16（万方平台首次上网日期，不代表论文的发表时间）