Noised Phase Unwrapping Based on the Adaptive Window of Wigner Distribution

Noised Phase Unwrapping Based on the Adaptive Window of Wigner Distribution

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 sim...

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Veröffentlicht in:Remote sensing (Basel, Switzerland) Switzerland), 2022-11, Vol.14 (21), p.5603
Hauptverfasser: Chu, Junqiu, Liu, Xingling, Ma, Haotong, Yu, Xuegang, Ren, Ge
Format: Artikel
Sprache:eng
Schlagworte:
Distribution functions
Frequency distribution
Kalman filters
Light
local phase filtering
Phase noise
Phase unwrapping
Poisson equation
Remote sensing
Sensors
Shack-Hartmann sensors
Signal processing
Wigner distribution
Wigner transform
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Zusammenfassung: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.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs14215603