A Fast 2-D Phase Unwrapping Algorithm Based on Convolutional Neural Network

A Fast 2-D Phase Unwrapping Algorithm Based on Convolutional Neural Network

Two-dimensional phase unwrapping (2-D PU) is the process of converting the measured phase into the real phase in interferometric signal processing. Reliable unwrapping results are critical for digital elevation model generation using interferometric synthetic aperture radar (InSAR) and interferometr...

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Bibliographic Details
Main Authors: Han Li, Heping Zhong, Zhen Tian, Peng Zhang, Jinsong Tang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural network
digital elevation model (DEM)
interferometric synthetic aperture radar (InSAR)
interferometric synthetic aperture sonar (InSAS)
phase unwrapping
real-time processing
Online Access:https://ieeexplore.ieee.org/document/10198351/

Internet

https://ieeexplore.ieee.org/document/10198351/

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