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PhaseNet 2.0: Phase unwrap** of noisy data based on deep learning approach
Phase unwrap** is an ill-posed classical problem in many practical applications of
significance such as 3D profiling through fringe projection, synthetic aperture radar and …
significance such as 3D profiling through fringe projection, synthetic aperture radar and …
Spatial-temporal phase unwrap** algorithm for fringe projection profilometry
H An, Y Cao, H Wu, N Yang, C Xu, H Li - Optics express, 2021 - opg.optica.org
In this paper, a generalized spatial-temporal phase unwrap** algorithm (STPUA) is
proposed for extracting the absolute phase of the isolated objects with intricate surfaces …
proposed for extracting the absolute phase of the isolated objects with intricate surfaces …
InSAR phase unwrap** by deep learning based on gradient information fusion
L Li, H Zhang, Y Tang, C Wang… - IEEE Geoscience and …, 2021 - ieeexplore.ieee.org
Phase unwrap** (PhU) is an important step in interferometric synthetic aperture radar
(InSAR) technology. At present, difficulties are encountered when using deep learning to …
(InSAR) technology. At present, difficulties are encountered when using deep learning to …
3D deformation measurement in digital holographic interferometry using a multitask deep learning architecture
The extraction of absolute phase from an interference pattern is a key step for 3D
deformation measurement in digital holographic interferometry (DHI) and is an ill-posed …
deformation measurement in digital holographic interferometry (DHI) and is an ill-posed …
Depth_ASPP_UNet++: a novel 2D ESPI phase unwrap** based on convolutional neural network
L Wang, W Liang, W Xue, Y Zhang… - Measurement …, 2024 - iopscience.iop.org
Phase unwrap** is a key step in optical metrology and physical optics to obtain accurate
phase distributions. In practice, phase images obtained from electronic speckle pattern …
phase distributions. In practice, phase images obtained from electronic speckle pattern …
A novel complete-surface-finding algorithm for online surface scanning with limited view sensors
Robotised Non-Destructive Testing (NDT) has revolutionised the field, increasing the speed
of repetitive scanning procedures and ability to reach hazardous environments. Application …
of repetitive scanning procedures and ability to reach hazardous environments. Application …
New interferometric phase unwrap** method based on energy minimization from contextual modeling
A Tlili, F Cavayas, S Foucher… - IEEE Journal of Selected …, 2020 - ieeexplore.ieee.org
Two-dimensional phase unwrap** is a critical processing procedure of synthetic aperture
radar interferometry. This operation becomes even more difficult in the presence of noise …
radar interferometry. This operation becomes even more difficult in the presence of noise …
Absolute Phase Unwrap** with Deep Neural Network for Structured Light 3D Reconstruction
W Chang, S ** Using Path-Based Least-Squares Phase Estimation and Region-Growing with Polynomial-Based Phase Prediction
BJL Brunson - 2019 - yorkspace.library.yorku.ca
Differential SAR interferometry (DInSAR) has proven to be a processing approach that is
well-suited to precisely identifying large-scale land deformation patterns. This is useful for …
well-suited to precisely identifying large-scale land deformation patterns. This is useful for …