Results 31 to 40 of about 6,973,682 (218)
BM3D Denoising for a Cluster-Analysis-Based Multibaseline InSAR Phase-Unwrapping Method
Remote Sensing, 2022 Multibaseline (MB) phase unwrapping (PU) is a key processing technique in MB interferometric synthetic aperture radar (InSAR). As one of the most popular methods, the cluster analysis (CA)-based MBPU method often suffers from the problem of low noise ...
Zhihui Yuan +4 more
semanticscholar +1 more source
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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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 ...
openaire +2 more sources
Optics ExpressHigh-speed 3D measurement is receiving increasing attention. However, simultaneously achieving high computational efficiency, algorithmic robustness, and reconstructing ratio is challenging.
Zhimi Wei +6 more
semanticscholar +1 more source
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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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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Three-stage training strategy phase unwrapping method for high speckle noises.
Optics ExpressDeep learning has been widely used in phase unwrapping. However, owing to the noise of the wrapped phase, errors in wrap count prediction and phase calculation can occur, making it challenging to achieve high measurement accuracy under high-noise ...
Kejia Li +7 more
semanticscholar +1 more source
Deep-learning-enabled geometric constraints and phase unwrapping for single-shot absolute 3D shape measurement [PDF]
APL Photonics, 2020 Fringe projection profilometry (FPP) is one of the most popular three-dimensional (3D) shape measurement techniques, and has becoming more prevalently adopted in intelligent manufacturing, defect detection and some other important applications.
Jiaming Qian +6 more
semanticscholar +1 more source
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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