节点文献
InSAR相位解缠最小二乘算法的研究
Research of the Least-Squares Algorithms for InSAR 2D Phase Unwrapping
【摘要】 相位解缠是干涉合成孔径雷达(InSAR)测量地形高程的重要步骤之一[1]。由噪声和欠采样导致的相位不一致性问题是相位解缠的难点。本文分析了相位解缠最小二乘算法的原理和性质,总结了算法的优缺点。最后采用加拿大RadarSat1数据进行实验,验证了分析的结果。
【Abstract】 Phase unwrapping of the interferometric SAR is a very important step to obtain an accurate DEM(Digital Elevation Model). The phase inconsistency or path dependence is a main problem encountered when phase unwrapping techniques are applied. In this paper, the theories and properties of some least-squares algorithms are analyzed and compared. Each algorithm is suitable for given data, and the choice of the algorithms is depended on the data. Last, phase unwrapping results of Canada RadarSat1 data are shown and validated.
【基金】 科技部重大基础研究项目(No.2001CCC02100)
- 【文献出处】 雷达科学与技术 ,Radar Science and Technology , 编辑部邮箱 ,2005年04期
- 【分类号】TN958
- 【被引频次】29
- 【下载频次】546