Results 21 to 30 of about 211 (127)

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

Polyurethane Application to Transform Screen‐Printed Electrode for Rapid Identification of Histamine Isolated from Fish

open access: yesScientifica, Volume 2023, Issue 1, 2023., 2023
The toxicity of histamine has attracted numerous researchers to develop a method for histamine determination purposes. The Food and Drug Administration (FDA) unequivocally prohibits the consumption of histamine above 50 mg·kg−1. Thus, an innovation in histamine detection in fish has been developed in this research.
Muhammad Abdurrahman Munir   +5 more
wiley   +1 more source

Improved branch-cut phase unwrapping strategy based on dynamic adjacent table

open access: yesThe Journal of Engineering, 2019
Phase unwrapping (PU) is a key step of interferometric SAR signal processing. The accuracy of the unwrapping phase directly affects the accuracy of the digital elevation model (DEM).
Tiandong Liu   +4 more
doaj   +1 more source

A Cluster-Analysis and Convex Hull-Based Fast Large-Scale Phase Unwrapping Method for Single- and Multibaseline SAR Interferograms

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
For synthetic aperture radar (SAR) interferometry (InSAR), phase unwrapping (PU) is an important and difficult step. Due to the high computational complexities of the classical and skilled PU methods, the size and number of interferograms to be processed
Yang Lan   +3 more
doaj   +1 more source

Discontinuity preserving phase unwrapping algorithm for simulated InSAR based on MRF model using line process

open access: yesThe Journal of Engineering, 2019
Phase unwrapping (PU) is one of the important procedures in measuring digital elevation model (DEM) from interferometric synthetic aperture radar (InSAR) images. It is known that the existence of phase discontinuity poses challenges to the traditional PU
Lifan Zhou, Yu Xia
doaj   +1 more source

Experimental Results of Three-Dimensional Modeling and Mapping with Airborne Ka-Band Fixed-Baseline InSAR in Typical Topographies of China

open access: yesRemote Sensing, 2022
Interferometric synthetic aperture radar (InSAR) has become a key technology for producing high-precision digital surface models (DSMs) and digital orthophoto maps (DOMs) in full time and all weathers. Airborne millimeter-wave InSAR, with large-scale and
Jian Gao   +5 more
doaj   +1 more source

An Algorithm Measuring Urban Building Heights by Combining the PS-InSAR Technique and Two-Stage Programming Approach Framework

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Urban building heights offer critical information in studying urbanization. An approach with adequate accuracy is of significant interest. Spaceborne interferometric synthetic aperture radar (InSAR) techniques and multibaseline (MB) InSAR observations ...
Bao Zhu, Yong Wang, Hanwen Yu
doaj   +1 more source

Using Range Split-Spectrum Interferometry to Reduce Phase Unwrapping Errors for InSAR-Derived DEM in Large Gradient Region

open access: yesRemote Sensing, 2022
The use of the conventional interferometric synthetic aperture radar (InSAR) to generate digital elevation models (DEMs) always encounters phase unwrapping (PU) errors in areas with a sizeable topographic gradient.
Wenfei Mao   +10 more
doaj   +1 more source

Refined Two-Stage Programming-Based Multi-Baseline Phase Unwrapping Approach Using Local Plane Model

open access: yesRemote Sensing, 2019
The problem of phase unwrapping (PU) in synthetic aperture radar (SAR) interferometry (InSAR) is caused by the measured range differences being ambiguous with the wavelength. Therefore, multi-baseline (MB) is a key processing step of MB InSAR.
Yang Lan, Hanwen Yu, Mengdao Xing
doaj   +1 more source

PIPNet: A Deep Convolutional Neural Network for Multibaseline InSAR Phase Unwrapping Based on Pure Integer Programming

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Multibaseline (MB) phase unwrapping (PU), as the core step in MB InSAR, breaks the limitation of phase continuity assumption. However, it still suffers from insufficient noise robustness and low unwrapping efficiency.
Hui Liu   +7 more
doaj   +1 more source

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