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InSAR图像的最小范数法相位解缠研究
引用本文:张永志,王卫东,李萍. InSAR图像的最小范数法相位解缠研究[J]. 延边大学学报(自然科学版), 2005, 0(1): 80-83
作者姓名:张永志  王卫东  李萍
作者单位:长安大学地质工程与测绘工程学院,陕西西安710054
摘    要:推导了L2最小范数相位解缠法的实用计算公式,应用L2最小范数相位解缠递推算法对InSAR图像进行了计算处理,将L2最小范数相位解缠法的计算结果与Goldstain枝切法相位解缠法计算结果进行对比分析。结果表明,最小范数相位解缠法具有收敛快、计算结果精度高等优点。经过6次递推后,获得与Goldstain枝切法基本相同的结果。最小范数相位解缠法出现残差点较Goldstain枝切法少,图像较Goldstain枝切法光滑。

关 键 词:InSAR图像  相位解缠  最小范数法  Goldstain枝切法

Minimum L2-norm two dimensional phase unwrapping
ZHANG Yong-zhi,WANG Wei-dong,LI Ping. Minimum L2-norm two dimensional phase unwrapping[J]. Journal of Yanbian University (Natural Science), 2005, 0(1): 80-83
Authors:ZHANG Yong-zhi  WANG Wei-dong  LI Ping
Affiliation:School of Geological Engineering and Surveying Engineering, Chang’ an University, Xi’ an 710054, China
Abstract:A formula of Minimum L2-norm two dimensional phase unwrapping are derived based on relationship betweenwrapping and unwrapping phase in this paper. In order to test the correctness and validness of the formula derived, the com-puted results of Minimum L2-norm two dimensional phase unwrapping are compared with that by traditional Goldstain’ smethod. The results manifest that Minimum L2-norm two dimensional phase unwrapping can get the better results only atthe sixth step iterated than that by Goldstain’ s method.
Keywords:InSAR image  unwrapping  minimum L2-norm method  goldstain cut method
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