Noised Phase Unwrapping Based on the Adaptive Window of Wigner Distribution

被引：1
|
作者：
Chu, Junqiu [1 ,2 ]
Liu, Xingling [1 ,2 ]
Ma, Haotong [1 ,2 ,3 ]
Yu, Xuegang [1 ,2 ]
Ren, Ge [1 ,2 ,3 ]
机构：
[1] Chinese Acad Sci, Inst Opt & Elect, Chengdu 610209, Peoples R China
[2] Chinese Acad Sci, Key Lab Opt Engn, Chengdu 610209, Peoples R China
[3] Univ Chinese Acad Sci, Beijing 101408, Peoples R China
来源：
REMOTE SENSING | 2022年 / 14卷 / 21期
基金：
中国国家自然科学基金;
关键词：
phase unwrapping; Wigner transform; local phase filtering; FILTER; TIME; ALGORITHM;
D O I：
10.3390/rs14215603
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
A noised phase-unwrapping method is presented by using the Wigner distribution function to filter the phase noise and restore the gradient of the phase map. By using Poisson's equation, the unwrapped phase map was obtained. Compared with the existing methods, the proposed method is theoretically simple, provides a more accurate representation, and can be implemented in light-field hardware devices, such as Shack-Hartmann sensors.
引用
收藏
页数：15
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