Results 1 to 10 of about 6,973,682 (218)
A Robust InSAR Phase Unwrapping Method via Improving the pix2pix Network
Remote Sensing, 2023 The main core of InSAR (interferometric synthetic aperture radar) data processing is phase unwrapping, and the output has a direct impact on the quality of the data processing products.
Long Zhang +5 more
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A U-Net Approach for InSAR Phase Unwrapping and Denoising
Remote Sensing, 2023 The interferometric synthetic aperture radar (InSAR) imaging technique computes relative distances or surface maps by measuring the absolute phase differences of returned radar signals.
Sachin Vijay Kumar +4 more
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Deep Learning-Based Phase Unwrapping Method
IEEE Access, 2023 A phase unwrapping method based on spatial and channel attention network is proposed to retrieve true phases from interferograms with various levels of noise. First, we propose a network that is suitable for unwrapping wrapped phase images.
Dongxu Li, Xianming Xie
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InSAR Phase Unwrapping Algorithm Based on Deep GAN
Journal of Function Spaces, 2023 At present, the traditional phase unwrapping algorithm is difficult to balance the accuracy and unwrapping efficiency. The traditional phase unwrapping algorithm is difficult to balance the accuracy and efficiency in the phase unwrapping experiments of ...
Chenxia Wang +3 more
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Tile-Based Two-Dimensional Phase Unwrapping for Digital Holography Using a Modular Framework. [PDF]
PLoS ONE, 2015 A variety of physical and biomedical imaging techniques, such as digital holography, interferometric synthetic aperture radar (InSAR), or magnetic resonance imaging (MRI) enable measurement of the phase of a physical quantity additionally to its ...
Georgios C Antonopoulos +4 more
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Unifying temporal phase unwrapping framework using deep learning.
Optics Express, 2023 Temporal phase unwrapping (TPU) is significant for recovering an unambiguous phase of discontinuous surfaces or spatially isolated objects in fringe projection profilometry.
Xinming Guo +8 more
semanticscholar +1 more source
Deep learning spatial phase unwrapping: a comparative review
Advanced Photonics Nexus, 2022 . Phase unwrapping is an indispensable step for many optical imaging and metrology techniques. The rapid development of deep learning has brought ideas to phase unwrapping.
Kai-Qiang Wang +3 more
semanticscholar +1 more source
PUnet: A robust framework for phase unwrapping in interferometric SAR
Frontiers in Environmental Science, 2023 Synthetic Aperture Radar Interferometry (InSAR) has grown significantly over the past few decades, which were mainly used in remote sensing applications. Most InSAR applications (e.g., terrain mapping and monitoring) utilized a key technique called phase
Boyu Liu +5 more
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Dual-Stage Phase Unwrapping [PDF]
2019 IEEE Nordic Circuits and Systems Conference (NORCAS): NORCHIP and International Symposium of System-on-Chip (SoC), 2019 Energy minimization on large scale problems can be expensive to compute. This paper presents an extension of a primal-dual algorithm to scale to large scale convex energy minimization problems, while guaranteeing the global optimum on convergence.
Bardia Barabadi +4 more
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Two-dimensional phase unwrapping based on U2-Net in complex noise environment.
Optics Express, 2023 This paper proposes applying the nested U2-Net to a two-dimensional phase unwrapping (PU). PU has been a classic well-posed problem since conventional PU methods are always limited by the Itoh condition.
Jing Chen +4 more
semanticscholar +1 more source