Temporal phase unwrapping using deep learning

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August undefined, 2024

WebPhase Unwrapping Using Residual Neural Networks We demonstrate 2-D phase unwrapping of optically thick objects in quantitative phase microscopy, using a deep neural network trained on data consisting of steep spatial gradients. Web13 May 2024 · Inspired by deep learning techniques, in this study, we demonstrate that the deep neural networks can learn to perform temporal phase unwrapping after appropriate …

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Web1 Jun 2024 · This proposed algorithm can eliminate thoroughly the order jumps of various temporal phase unwrapping algorithms (TPUAs), while inheriting the high measuring accuracy of quality-guided phase unwrapping algorithms (QGPUAs). WebExcessive groundwater extraction has caused land subsidence in a large rural area located southwest of Tehran, Iran. We used radar images to estimate the temporal and spatial variation in the magnitude of the subsidence. Due to the large perpendicular baselines and rapid temporal decorrelation of the available data, the application of conventional … mario benedetti poemas de amistad

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Web13 May 2024 · Inspired by deep learning techniques, in this study, we demonstrate that the deep neural networks can learn to perform temporal phase unwrapping after appropriate training, which substantially improves the reliability of phase unwrapping compared with the traditional multi-frequency TPU approach even when high-frequency fringe patterns are … Web27 Mar 2024 · The traditional phase unwrapping algorithm is difficult to balance the accuracy and efficiency in the phase unwrapping experiments of simulated and measured topographic interferograms. In this paper, the phase unwrapping technology will be studied under the framework of deep learning theory according to the development trend of … Web22 Mar 2024 · In this paper, an optimized structural convolution neural network PhaseNet is proposed for the reconstruction of digital holograms, and a deep learning-based holographic microscope (DLHM) using PhaseNet is implemented for quantitative phase imaging. mario benedetti obras literarias

Temporal phase unwrapping algorithms for fringe projection profilometry …

Temporal phase-unwrapping in fringe projection ... - ScienceDirect

Web4 rows · 23 Mar 2024 · The multi-frequency temporal phase unwrapping (MF-TPU) method, as a classical phase ... Web23 Mar 2024 · The multi-frequency temporal phase unwrapping (MF-TPU) method, as a classical phase unwrapping algorithm for fringe projection profilometry (FPP), is capable … damian o connorWebRed blood cells (RBCs) play a crucial role in health and disease, and structural and mechanical abnormalities of these cells have been associated with important disorders such as Sickle cell disease and hereditary cytoskeletal abnormalities. Although several experimental methods exist for analysis of RBC mechanical properties, optical methods … mario benedetti obras mas relevantes

"Web21 Oct 2024 · Phase unwrapping is a critical step of interferometric synthetic aperture radar processing, and its accuracy directly determines the reliability of subsequent applications. … " - Temporal phase unwrapping using deep learning

Temporal phase unwrapping using deep learning

WebIn fringe projection profilometry (FPP) based on temporal phase unwrapping (TPU), reducing the number of projecting patterns has become one of the most important works in recent … Webunwrap the phase via temporal analysis of multiple wrapped phase values for each sample point separately. It can achieve pixel-wise phase unwrapping even in the presence of …

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WebThe multi-frequency temporal phase unwrapping (MF-TPU) method, as a classical phase unwrapping algorithm for fringe projection techniques, has the ability to eliminate the … WebNumerous phase unwrapping algorithms have been proposed and can be divided into two categories with regard to the working domains: spatial phase unwrapping (SPU) 10, 11 …

Web27 Dec 2024 · The multi-frequency temporal phase unwrapping (MF-TPU) method, as a classical phase unwrapping algorithm for fringe projection techniques, has the ability to … Web16 Jul 2024 · The quality of input DEMs can be further improved using fusion methods, which combine multi-sensor or multi-temporal datasets intelligently to retrieve the best information from the input data. This research study is based on developing a Neural Network-based fusion approach for improving InSAR-based DEMs in plain and hilly terrain …

Webjiaqigen_msr_thesis - Read online for free. ... Share with Email, opens mail client Web25 Jul 2014 · STUN (Spatio-Temporal Unwrapping Network), as recommended by Kampes , enables a combination of displacement models with spatial networks for phase unwrapping through single-master interferograms. SPN (Stable Point Network), as designed by Crosetto et al. [ 17 ] and Herrera et al. [ 18 ], pays particular attention to pixels with interferometric …

WebSatellite-based interferometric synthetic aperture radar (InSAR) is an invaluable technique in the detection and monitoring of changes on the surface of the earth. Its high spatial …

Web16 Mar 2024 · 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. For the phase unwrapping problem, many scholars began to consider using the deep learning (DL) technology in the field of artificial intelligence. By accumulating InSAR … mario benficaWeb13 May 2024 · (PDF) Bi-frequency temporal phase unwrapping using deep learning Bi-frequency temporal phase unwrapping using deep learning Authors: Wei Yin Nanjing … mario benny grana illinoisWebHere we report full-field imaging of cellular deformations accompanying the action potential in mammalian neuron somas (−1.8 to 1.4 nm) and neurites (−0.7 to 0.9 nm), using high-speed... damiano e margherita terconWeb27 Dec 2024 · Europe PMC is an archive of life sciences journal literature. damiano fraccaroWebIn this Better Edge podcast episode, Anna Liggett, MD, and Alexandra Petrakos, MD, both assistant professors of Internal Medicine and of Geriatrics at Northwestern Medicine, discuss the importance of patient-centered care and "What Matters Most" in geriatric medicine.Their conversation focuses on the five M's of age-friendly health care: … mario beramendi alvarezWebOne of the most critical steps in a multitemporal D-InSAR analysis is the resolution of the phase ambiguities in the context of phase unwrapping. The Extended Minimum Cost Flow … mario bennett arizona stateWeb27 Dec 2024 · The multi-frequency temporal phase unwrapping (MF-TPU) method, as a classical phase unwrapping algorithm for fringe projection techniques, has the ability to … mario berdič codella