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A Multitemporal Baseline Phase Unwrapping Approach for Accurately Monitoring High-Gradient Deformation With Two-Pass DInSAR

IEEE Transactions on Geoscience and Remote Sensing
The differential interferometric synthetic aperture radar (DInSAR) technique can estimate the Earth’s surface displacement theoretically at centimeter- or millimeter-level accuracy, where the 2-D phase unwrapping (PU) is ineluctable, so that improper PU ...
Yan Yan, Hanwen Yu, Tao-Li Yang
semanticscholar   +1 more source

Deep-Learning-Based Mask-Cut Method for InSAR Phase Unwrapping

IEEE Journal on Miniaturization for Air and Space Systems, 2023
Two-dimensional phase unwrapping (2D-PU) is a key processing step for interferometric synthetic aperture radar (InSAR) and it plays an important role in InSAR data processing.
Kai Yang   +3 more
semanticscholar   +1 more source

Accuracy Assessment for Multibaseline Phase Unwrapping Without Using External Reference Data

IEEE Transactions on Geoscience and Remote Sensing
Accuracy assessment of interferometric synthetic aperture radar (InSAR) products without external reference data (ERD) has been a long-standing challenge because traditional phase unwrapping (PU) is an ill-posed problem.
Xin Ye, Hanwen Yu, Yan Yan, Tao-Li Yang
semanticscholar   +1 more source

Deep Learning-Based Branch-Cut Method for InSAR Two-Dimensional Phase Unwrapping

IEEE Transactions on Geoscience and Remote Sensing, 2022
Two-dimensional (2-D) phase unwrapping (PU) is a critical processing step for many synthetic aperture radar (SAR) interferometry (InSAR) applications. As is well known, the traditional 2-D PU is an ill-posed inverse problem, which means that regardless ...
Lifan Zhou   +3 more
semanticscholar   +1 more source

A WaveCluster-Based Robust and Fast Multibaseline InSAR Phase Unwrapping Algorithm

IEEE Transactions on Geoscience and Remote Sensing
Phase unwrapping (PU) is a critical step in interferometric synthetic aperture radar (InSAR) data processing. Among all PU methods, the multibaseline PU (MBPU) method is a state-of-the-art method, which can overcome the limitations of the phase ...
Zhihui Yuan   +6 more
semanticscholar   +1 more source

Phase unwrapping for phase imaging using the plug-and-play proximal algorithm.

Applied Optics, 2023
Phase unwrapping (PU) is essential for various scientific optical applications. This process aims to estimate continuous phase values from acquired wrapped values, which are limited to the interval (-π,π].
J. Ramirez, Henry Arguello, J. Bacca
semanticscholar   +1 more source

TNUnet: U-Shaped Phase Feature Extraction Network for Phase Unwrapping in Optical Metrology

IEEE Transactions on Instrumentation and Measurement
Due to the bias of convolution operation, current 2-D spatial phase unwrapping (PU) methods in optical metrology based on convolutional neural networks (CNNs) struggle to accurately capture the global context and fail to model long-range capabilities ...
Zi-Heng Zhang   +4 more
semanticscholar   +1 more source

A Collaboratively Enhanced Algorithm for Robust Two-Dimensional Phase Unwrapping

IEEE International Geoscience and Remote Sensing Symposium
The process of two-dimensional phase unwrapping (PU) is essential in the field of interferometric measurement techniques. Path-following-based algorithms and optimization-based algorithms are commonly used PU methods.
Sijia Chen   +4 more
semanticscholar   +1 more source

A Gaussian Particle Swarm Optimization-Based Phase Unwrapping Algorithm

IEEE Journal on Miniaturization for Air and Space Systems, 2023
A Gaussian particle swarm optimization-based phase unwrapping (PU) technique is presented to recover unwrapped phases reflecting the deformation or height of the observed objects from measured interferograms composed of wrapped phases.
Rong Li, Xianming Xie
semanticscholar   +1 more source

A Novel Weighted Method for Phase Unwrapping Based on Interferometric Fringe Density

IEEE Geoscience and Remote Sensing Letters
Interferometric synthetic aperture radar (InSAR) serves as a premier technique for surface deformation monitoring, yet existing phase unwrapping (PU) methods frequently introduce errors when handling high-gradient deformation.
Liquan Chen   +3 more
semanticscholar   +1 more source

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