Results 1 to 10 of about 147 (74)

BM3D Denoising for a Cluster-Analysis-Based Multibaseline InSAR Phase-Unwrapping Method

Remote Sensing, 2022
Multibaseline (MB) phase unwrapping (PU) is a key processing technique in MB interferometric synthetic aperture radar (InSAR). As one of the most popular methods, the cluster analysis (CA)-based MBPU method often suffers from the problem of low noise ...
Zhihui Yuan, Xuemin Xing, Lifu Chen
exaly   +3 more sources

Unwrapped Phase Estimation via Normalized Probability Density Function for Multibaseline InSAR [PDF]

IEEE Access, 2019
Interferometric synthetic aperture radar (InSAR) is a powerful technique for obtaining terrain information based on the interferometric phase. Multibaseline (MB) InSAR is an extension of the conventional InSAR and is used to improve the estimation ...
Huaping Xu, Shuo Li, Yanan You, Aifang Liu, Wei Liu   +4 more
doaj   +3 more sources

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

IEEE 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

The Performance of Relative Height Metrics for Estimation of Forest Above-Ground Biomass Using L- and X-Bands TomoSAR Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Both synthetic aperture radar tomography (TomoSAR) profiles and light detection and ranging (LiDAR) waveforms are the responses of a 3-D canopy structure.
Haoyang Yu, Zhongjun Zhang
doaj   +1 more source

Cluster Correction for Cluster Analysis-Based Multibaseline InSAR Phase Unwrapping

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
In recent years, multibaseline phase unwrapping (MBPU) has been widely studied, but it is still suffering from the problem of low noise robustness.
Zhihui Yuan, Tianjiao Chen, Hanwen Yu, Wei Peng, Lifu Chen, Xuemin Xing   +5 more
doaj   +1 more source

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

IEEE 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, Hanwen Yu, Mengdao Xing, Antonio Plaza   +3 more
doaj   +1 more source

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

IEEE 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, Ke Zheng, Changwei Miao, Xuemei Liu, Xianlin Liu, Lin Li, Yongguang Zhang, Longhai Xiong   +7 more
doaj   +1 more source

Two-Dimensional Phase Unwrapping for Topography Reconstruction: A Refined Two-Stage Programming Approach

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The interferometric synthetic aperture radar (InSAR) is able to reconstruct the Earth's surface topography with a meter-level accuracy when two-dimensional phase unwrapping (PU) is properly implemented.
Yan Yan, Hanwen Yu, Taoli Yang
doaj   +1 more source

An Onboard Calibration Technique for Synthetic Aperture Radar Interferometry Using Multisource Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The synthetic aperture radar interferometry (InSAR) is a powerful tool for retrieving the Earth’s geophysical parameters, such as terrain height, displacement and soil moisture.
Yan Yan, Qingjun Zhang, Vito Pascazio, Zhibin Wang, Taoli Yang   +4 more
doaj   +1 more source

Extended Phase Unwrapping Max-Flow/Min-Cut Algorithm for Multibaseline SAR Interferograms Using a Two-Stage Programming Approach. [PDF]

Sensors (Basel), 2020
Zhou L, Lan Y, Xia Y, Gong S.
europepmc   +1 more source