A virtual resampling technique for algebraic two-dimensional phase unwrapping

D. Kitahara, M. Yamagishi, I. Yamada
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引用次数: 4

Abstract

Two-dimensional (2D) phase unwrapping is a reconstruction problem of a continuous phase, defined over 2D-domain, from its wrapped samples. In our previous work, we presented a two-step phase unwrapping algorithm which first constructs, as the real and imaginary parts of a complex function, a pair of piecewise polynomials having no common zero over the domain, then estimates the unwrapped phase by applying the algebraic phase unwrapping. In this paper, we propose a preprocessing of the above algorithm for avoiding the appearance of zeros of the complex function in the first step. The proposed preprocessing is implemented by a convex optimization and resampling, and its effectiveness is shown in a terrain height estimation by the interferometric synthetic aperture radar.
代数二维相位展开的虚拟重采样技术
二维(2D)相位展开是一个连续相位的重建问题,定义在二维域上,从其包裹的样本。在我们之前的工作中,我们提出了一种两步相位展开算法,该算法首先构建一个复函数的实部和虚部,一对在域上没有公零的分段多项式,然后通过应用代数相位展开来估计展开相位。在本文中,我们提出了上述算法的预处理,以避免在第一步中出现复函数的零。该预处理方法采用凸优化和重采样的方法实现,并在干涉型合成孔径雷达的地形高度估计中得到了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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