A New Orbit Fitting Algorithm of Space-borne SAR Based On Householder Transformation

摘要：

With the development of space-borne SAR and wide application of SAR image,the accurate positioning in geometric rectification of SAR image becomes more and more important.It corrects the image by using orbit parameters and RD location model. The orbit parameter accuracy affects the accuracy of geo-coding directly.In this paper,a new orbit fitting algorithm based on householder transformation is presented. A comparison which uses ENVISAT images as the experimental data is made between householder transformation algorithm and the traditional least squares polynomial fitting,the result shows that the new algorithm in this paper not only avoids the ill condition of traditional least squares polynomial fitting,but also have a higher positioning accuracy.

关键词： Space-borne SAR Householder transformation Orbit fitting

作者: Xiao Lin Liu XiuGuo Li Yongsheng Gao Wei

作者单位: Faculty of Information Engineering,China University of Geosciences,Wuhan China Faculty of Information Engineering,China University of Geosciences,Wuhan China Research and Engineer

会议类型: 国际会议

会议名称: 2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar(第二届亚太合成孔径雷达会议)

会议地点: 西安

会议语种:英文

页码: 832-835

在线出版日期: 2009-10-26（万方平台首次上网日期，不代表论文的发表时间）