The Application of Data Fitting in Direct Geolocation of Remote Sensing Data

摘要：

In direct geolocation of remote sensing data, the high precise ephemeris and attitude data is required. Due to the measurement error, as well as the discreteness of the ephemeris data, it is necessary to fit the ephemeris data, before direct geolocation is applied. Commom algorithms for data fitting include Lagrange interpolation, polynomial fitting, cubic spline fitting and cubic uniform B-spline fitting. After a short introduction to the mathematical model of these algorithms, a systematic comparison of the performance among them is conducted on a full scene SPOT image obtained. The experimental results show that, for mountainous terrain, Lagrange interpolation outperforms the other three algorithms , while for flat terrain, cubic uniform B-spline fitting achieves the best performance.

作者: Lin Zhang Yang An Hongbing Ma Weidong Sun

作者单位: Department of Electronic EngineeringTsinghua University, Beijing, 100084, China

会议类型: 国际会议

会议名称: The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)

会议地点: 三亚

会议语种:英文

页码: 270-273

在线出版日期: 2009-04-24（万方平台首次上网日期，不代表论文的发表时间）