scholarly journals Robust Interferometric Phase Estimation in InSAR via Joint Subspace Projection

10.5772/36820 ◽  
2012 ◽  
Author(s):  
Hai Li ◽  
Renbiao Wu
Keyword(s):  
Phase Estimation ◽  
Subspace Projection ◽  
Interferometric Phase

An Absolute Phase Estimation Method for Interferometry Imagery

2019 ◽  
Vol 1 (2) ◽  
pp. 14-19
Author(s):  
Sui Ping Lee ◽  
Yee Kit Chan ◽  
Tien Sze Lim
Keyword(s):  
Noise Suppression ◽  
Estimation Method ◽  
Phase Image ◽  
Phase Estimation ◽  
Phase Reconstruction ◽  
Estimation Algorithms ◽  
Absolute Phase ◽  
Filtering Rate ◽  
Interferometric Phase ◽  
Image Performance

Accurate interpretation of interferometric image requires an extremely challenging task based on actual phase reconstruction for incomplete noise observation. In spite of the establishment of comprehensive solutions, until now, a guaranteed means of solution method is yet to exist. The initially observed interferometric image is formed by 2π-periodic phase image that wrapped within (-π, π]. Such inverse problem is further corrupted by noise distortion and leads to the degradation of interferometric image. In order to overcome this, an effective algorithm that enables noise suppression and absolute phase reconstruction of interferometric phase image is proposed. The proposed method incorporates an improved order statistical filter that is able to adjust or vary on its filtering rate by adapting to phase noise level of relevant interferometric image. Performance of proposed method is evaluated and compared with other existing phase estimation algorithms. The comparison is based on a series of computer simulated and real interferometric data images. The experiment results illustrate the effectiveness and competency of the proposed method.

scholarly journals Frequentist and Bayesian Quantum Phase Estimation

Entropy ◽  
2018 ◽  
Vol 20 (9) ◽  
pp. 628 ◽  
Author(s):  
Yan Li ◽  
Luca Pezzè ◽  
Manuel Gessner ◽  
Zhihong Ren ◽  
Weidong Li ◽  
...  
Keyword(s):  
Phase Shift ◽  
Unknown Parameter ◽  
Quantum Noise ◽  
The State ◽  
Quantum Phase ◽  
Phase Estimation ◽  
True Value ◽  
Interferometric Phase ◽  
Fixed Parameter ◽  
Cramer Rao Bound

Frequentist and Bayesian phase estimation strategies lead to conceptually different results on the state of knowledge about the true value of an unknown parameter. We compare the two frameworks and their sensitivity bounds to the estimation of an interferometric phase shift limited by quantum noise, considering both the cases of a fixed and a fluctuating parameter. We point out that frequentist precision bounds, such as the Cramér–Rao bound, for instance, do not apply to Bayesian strategies and vice versa. In particular, we show that the Bayesian variance can overcome the frequentist Cramér–Rao bound, which appears to be a paradoxical result if the conceptual difference between the two approaches are overlooked. Similarly, bounds for fluctuating parameters make no statement about the estimation of a fixed parameter.

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