Results 21 to 30 of about 4,611 (209)

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, Houjun Jiang, Zhongchang Sun, Ruisheng Wang, Youmei Han   +4 more
doaj   +1 more source

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

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, Shubi Zhang, Yandong Gao, Tao Li, Jiazheng Han, Qiang Chen, Yansuo Zhang, Yu Tian   +7 more
doaj   +1 more source

Quantitative Susceptibility Mapping in Skull Base Chordoma: In Silico Analysis and In Vivo Application Towards Indirect Hypoxia Assessment. [PDF]

Magn Reson Med
ABSTRACT Purpose To evaluate quantitative susceptibility mapping (QSM) beyond the brain through realistic simulations and to explore preliminary evidence that may be indicative of hypoxia in skull base chordomas (SBC). Methods Each step of the QSM pipeline was optimized within an in silico framework consisting of (i) phase unwrapping, (ii) background ...
Fenech P, Morelli L, Parrella G, Imparato S, Iannalfi A, Lillo S, Orlandi E, Baroni G, Paganelli C.   +8 more
europepmc   +2 more sources

Deep Learning Training Data for Phase Unwrapping of SAR Interferograms [PDF]

Geo Data
Phase 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
doaj   +1 more source

Improved Least Squares Phase Unwrapping Method Based on Chebyshev Filter

Applied Sciences
Phase 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
doaj   +1 more source

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, Matthew Gara, Ali Jooya, Amirali Baniasadi, Nikitas Dimopoulos   +4 more
openaire   +1 more source

Fast InSAR Phase Unwrapping Method for Complex Mountainous Areas With High Noise and Large Gradient Changes

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Interferometry 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
doaj   +1 more source

Using Phase Unwrapping Methods to Apply D-InSAR in Mining Areas

Canadian Journal of Remote Sensing, 2019
Phase unwrapping is one of the key processing steps of D-InSAR (Differential Interferometric Synthetic Aperture Radar), and its accuracy has a great impact on the accuracy of interferometric deformation results.
Bei Zhang, Jiuyi Li, Hongrui Ren
doaj   +1 more source

Airborne InSAR Interferometric Phase Analysis, Unwrapping Method, and Fast Implementation in Low Coherence Areas

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Due to synthetic aperture radar (SAR) imaging geometry and scattering characteristics, there are some low coherence areas in interferometric SAR (InSAR) data, such as shadow and water, where the interferometric phase is discontinuous.
Fangfang Li, Chibiao Ding, Yueting Zhang, Donghui Hu   +3 more
doaj   +1 more source