Results 11 to 20 of about 222 (129)

Phase Cost Indicator-Guided Central Difference Information Filter 2-D Phase Unwrapping Approach

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Phase unwrapping (PU) as an ill-posed inverse scientific problem has invariably been the significant difficulty in interferometric synthetic aperture radar technique for topographic mapping.
Yansuo Zhang   +3 more
doaj   +1 more source

An Improved Phase Unwrapping Method Based on Hierarchical Networking and Constrained Adjustment

open access: yesRemote Sensing, 2021
Accurate phase unwrapping (PU) is a precondition and key for using synthetic aperture radar interferometry (InSAR) technology to successfully invert topography and monitor surface deformations. However, most interferograms are seriously polluted by noise
Wenxiang Mao   +4 more
doaj   +1 more source

An Improved Multi-Baseline Phase Unwrapping Method for GB-InSAR

open access: yesRemote Sensing, 2022
Ground-based interferometric synthetic aperture radar (GB-InSAR) technology can be applied to generate a digital elevation model (DEM) with high spatial resolution and high accuracy.
Zihao Lin   +4 more
doaj   +1 more source

A Novel Branch and Bound Pure Integer Programming Phase Unwrapping Algorithm for Dual-Baseline InSAR

open access: yesFrontiers in Environmental Science, 2022
Phase unwrapping (PU) is an important bottleneck restricting the practical application of the interferometric synthetic aperture radar (InSAR) technique.
Hui Liu   +6 more
doaj   +1 more source

A Fast 2-D Phase Unwrapping Algorithm Based on Convolutional Neural Network

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Two-dimensional phase unwrapping (2-D PU) is the process of converting the measured phase into the real phase in interferometric signal processing. Reliable unwrapping results are critical for digital elevation model generation using interferometric ...
Han Li   +4 more
doaj   +1 more source

A Multicomponent Temporal Coherence Model for 3-D Phase Unwrapping in Time-Series InSAR of Seasonal Deformation Areas

open access: yesRemote Sensing, 2022
3-D phase unwrapping (PU) methods based on the 2-D linear temporal coherencemodel have been widely used in time-series interferometric synthetic aperture radar (TS-InSAR) for measuring topography and monitoring subtle deformation.
Bo Yang   +6 more
doaj   +1 more source

Adaptive Square-Root Unscented Kalman Filter Phase Unwrapping with Modified Phase Gradient Estimation

open access: yesRemote Sensing, 2022
Phase unwrapping (PU) is a key program in data processing in the interferometric synthetic aperture radar (InSAR) technique, and its accuracy directly affects the quality of final SAR data products.
Yansuo Zhang   +5 more
doaj   +1 more source

An Improved Method of the Finite-Difference Sparse Phase Unwrapping

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Phase unwrapping (PU) is a significant problem for reconstructing the deformation field during synthetic aperture radar interferometry analysis. The various 2-D PU algorithms can be divided into two categories: path-following methods and optimization ...
Lian Liu, Chunyan Qu, Xinjian Shan
doaj   +1 more source

Bayesian Filtering Multi-Baseline Phase Unwrapping Method Based on a Two-Stage Programming Approach

open access: yesApplied Sciences, 2020
Phase unwrapping (PU) has been a key step in the processing of interferometric synthetic aperture radar (InSAR) data, and its processing accuracy will directly affect the reconstruction results of digital elevation models (DEMs).
YanDong Gao   +6 more
doaj   +1 more source

A Novel Quality-Guided Two-Dimensional InSAR Phase Unwrapping Method via GAUNet

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Phase unwrapping (PU) has always been a critical and challenging step in interferometric synthetic aperture radar (InSAR) data processing. Inspired by existing research, i.e., the PGNet, we propose a novel quality-guided 2-D InSAR PU method via deep ...
Hai Wang   +4 more
doaj   +1 more source

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