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Application of ALOS and Envisat Data in Improving Multi-Temporal InSAR Methods for Monitoring Damavand Volcano and Landslide Deformation in the Center of Alborz Mountains, North Iran [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 InSAR capacity to detect slow deformation over terrain areas is limited by temporal and geometric decorrelations. Multitemporal InSAR techniques involving Persistent Scatterer (Ps-InSAR) and Small Baseline (SBAS) are recently developed to compensate the ...
S. Vajedian, M. Motagh, F. Nilfouroushan
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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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Improved Least Squares Phase Unwrapping Method Based on Chebyshev Filter
Applied SciencesPhase unwrapping of high phase noise and steep phase gradient has always been a challenging problem in interferometric synthetic aperture radar (InSAR), in which case the least squares (LS) phase unwrapping method often suffers from significant ...
Guoqing Li, Yake Li, Wenyan Liu
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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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A Parallel InSAR Phase Unwrapping Method Based on Separated Continuous Regions
Remote Sensing, 2023 Phase unwrapping is an imperative step in interferometry processing that has a significant influence on the quality of subsequent products. Many existing phase unwrapping algorithms have been designed to solve for the unwrapped phase under the assumption
Jian Gao +4 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingInterferometry synthetic aperture radar (InSAR) is essential for monitoring surface deformation and geological hazards. InSAR applications in complex mountainous regions are challenging due to high noise levels and large phase gradient variations, which ...
Dingyi Zhou, Zhifang Zhao
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Deep Learning Training Data for Phase Unwrapping of SAR Interferograms [PDF]
Geo DataPhase unwrapping is an essential process in synthetic aperture radar interferometry that restores phase signals constrained within the range of (-π, π) to their true phase values.
Won-Kyung Baek, Hyung-Sup Jung
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Earth, Planets and Space, 2022 Synthetic aperture radar (SAR) interferometry can measure ground surface deformation with high accuracy and spatial resolution, in the form of phase change in an interferogram.
Yu Morishita
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Time series phase unwrapping algorithm using LP-norm optimization compressive sensing
International Journal of Applied Earth Observations and Geoinformation, 2023 Time series phase unwrapping is an essential step in the time series interferometric synthetic aperture radar technique for deformation monitoring. However, traditional unwrapping algorithms are prone to unwrapping errors in the case of intense noise and
Shijin Li +7 more
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3D tomographic phase retrieval and unwrapping
Inverse Problems, 2023 Abstract This paper develops uniqueness theory for 3D phase retrieval with finite, discrete measurement data for strong phase objects and weak phase objects, including: (i) Unique determination of (phase) projections from diffraction patterns—General measurement schemes with coded and uncoded apertures are proposed and shown to ensure ...
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