Results 141 to 150 of about 6,973,682 (218)

Phase Unwrapping with Phase-Singularity Spreading

2006 IEEE International Symposium on Geoscience and Remote Sensing, 2006
We propose a novel phase unwrapping method where we spread the singularity in phase map with fractional phase compensators. We find that the obtained digital elevation maps have higher quality than those obtained in conventional network programming method. In addition, the calculation cost is very small.
Akira Hirose 0001, Ryo Yamaki
openaire   +1 more source

Proposed algorithm for phase unwrapping

Applied Optics, 2002
A new, to our knowledge, two-dimensional phase-unwrapping algorithm is proposed. The algorithm, which is based on the global continuity of physical information (e.g. the three-dimensional surface profile of an object) being measured, uses the principle of least-phase difference to rectify errors caused by an erroneous 2pi-phase jump in the initial ...
He, X.Y., Kang, X., Tay, C.J., Quan, C., Shang, H.M.   +4 more
openaire   +2 more sources

CANet: An Unsupervised Deep Convolutional Neural Network for Efficient Cluster-Analysis-Based Multibaseline InSAR Phase Unwrapping

IEEE Transactions on Geoscience and Remote Sensing, 2022
Multibaseline (MB) phase unwrapping (PU) is a vital processing procedure for MB synthetic aperture radar interferometry (InSAR) signal processing and can improve the traditional InSAR by changing the ill-posed problem to the well-posed problem.
Lifan Zhou, Hanwen Yu, Yang Lan, Shengrong Gong, Mengdao Xing   +4 more
semanticscholar   +1 more source

Deep-Learning-Based Phase Discontinuity Prediction for 2-D Phase Unwrapping of SAR Interferograms

IEEE Transactions on Geoscience and Remote Sensing, 2022
Phase unwrapping is a critical step of interferometric synthetic aperture radar processing, and its accuracy directly determines the reliability of subsequent applications.
Zhi-Peng Wu, Tengchuan Wang, Yingjie Wang, R. Wang, D. Ge   +4 more
semanticscholar   +1 more source

Artificial Intelligence In Interferometric Synthetic Aperture Radar Phase Unwrapping: A Review

IEEE Geoscience and Remote Sensing Magazine, 2021
Interferometric synthetic aperture radar (InSAR) is a radar technique widely used in geodesy and remote sensing applications, e.g., topography reconstruction and subsidence estimation.
Lifan Zhou, Hanwen Yu, Yang Lan, Mengdao Xing   +3 more
semanticscholar   +1 more source

Deep Learning for the Detection and Phase Unwrapping of Mining-Induced Deformation in Large-Scale Interferograms

IEEE Transactions on Geoscience and Remote Sensing, 2021
This article proposes deep convolutional neural networks to detect and map localized, rapid subsidence caused by mining activities using time-series Sentinel-1 synthetic aperture radar (SAR) images. A deformation detection network (DDNet) is developed to
Zhi-Peng Wu, Tengchuan Wang, Yingjie Wang, R. Wang, D. Ge   +4 more
semanticscholar   +1 more source

1D Phase Unwrapping Based on the Quasi-Gramian Matrix and Deep Learning for Interferometric Optical Fiber Sensing Applications

Journal of Lightwave Technology, 2022
Phase unwrapping is one of the key problems in interferometric fiber sensors, which usually acts as the system performance bottleneck. Compared with the two-dimensional phase unwrapping, the one-dimensional phase unwrapping suffers more seriously from ...
Lei Kong, K. Cui, Jia-Bin Shi, Ming Zhu, Simeng Li   +4 more
semanticscholar   +1 more source

Singularity-Spreading Phase Unwrapping

IEEE Transactions on Geoscience and Remote Sensing, 2007
How to process phase singular points (SPs), or residues, is a difficult problem in a 2-D phase-unwrapping process to generate digital elevation maps (DEMs). Although the minimum-cost network-flow method is an effective and widely used technique, some problems still remain.
Ryo Yamaki, Akira Hirose 0001
openaire   +1 more source

A Multi-Task Learning for 2D Phase Unwrapping in Fringe Projection

IEEE Signal Processing Letters, 2022
Phase unwrapping is a challenging task in signal processing, spanning its applications in optical metrology, SAR interferometry, and many other signal reconstruction tasks.
Krishna Sumanth, Vaishnavi Ravi, Rama Krishna Sai Subrahmanyam Gorthi   +2 more
semanticscholar   +1 more source

Exploiting Sparsity for Phase Unwrapping

IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
We consider the problem of unwrapping the phase of two-dimensional interferograms, and adopt a known formulation as a sparse optimization problem. Many algorithms have been developed for solving sparse optimization problems that occur in the field of compressive sensing; in this work, we adapt one such algorithm for use in the unwrapping problem.
Rick Chartrand, Matthew T. Calef, Michael S. Warren   +2 more
openaire   +1 more source