Results 31 to 40 of about 211 (127)
BM3D Denoising for a Cluster-Analysis-Based Multibaseline InSAR Phase-Unwrapping Method
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 +4 more
doaj +1 more source
L2-norm deformation phase unwrapping in mining area driven by matrix pencil model
To address the limitations of traditional phase unwrapping (PU) approaches in differential interferometric synthetic aperture radar (DInSAR) technology which performs poorly in unwrapping low-coherence deformation interferograms in mining areas, an L2 ...
Lei DUAN +6 more
doaj +1 more source
Phase unwrapping (PU) represents a key step in the reconstruction of digital elevation models (DEMs) and the monitoring of surface deformation from interferometric synthetic aperture radar (InSAR) data.
YanDong Gao +5 more
doaj +1 more source
Cluster Correction for Cluster Analysis-Based Multibaseline InSAR Phase Unwrapping
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 +5 more
doaj +1 more source
A U-Net Approach for InSAR Phase Unwrapping and Denoising
The interferometric synthetic aperture radar (InSAR) imaging technique computes relative distances or surface maps by measuring the absolute phase differences of returned radar signals.
Sachin Vijay Kumar +4 more
doaj +1 more source
Flame‐retardant bio‐based thermo‐flexible phase‐change composites for advanced battery thermal management. Batteries face critical challenges in thermal management, including overheating risks, poor interfacial contact, and mechanical vibration–induced performance attenuation.
Shichao Feng +7 more
wiley +1 more source
Abstract The efficacy of rapid seismic response is fundamentally constrained by the sequential, multi‐step nature of conventional InSAR processing, where error propagation and reliance on auxiliary data hinder automation. Here, we present a holistic framework using Physics‐Aware Generative Adversarial Networks (GANs) to directly retrieve absolute ...
Chuanhua Zhu +3 more
wiley +1 more source
A Coherence-Guided InSAR Phase Unwrapping Method With Cycle-Consistent Adversarial Networks
Phase unwrapping (PU) is a critical processing step for obtaining information on land surface deformation from interferometric synthetic aperture radar (InSAR) images.
Jingqin Mu +6 more
doaj +1 more source
Abstract The 2019–2026 southwestern Puerto Rico earthquake sequence has the characteristics of an earthquake swarm with over 9,000 events of Mw 2.5 or greater over an area of 1,500 km2, and the largest event is an Mw 6.4 on 7 January 2020. Previous studies have proposed two structural interpretations: (a) an E‐striking, N‐dipping normal fault hosting ...
Lei Sun +3 more
wiley +1 more source
A Discontinuity-Guided Two-Dimensional Phase Unwrapping Method for SAR Interferograms
Phase unwrapping (PU) is one of the core procedures of interferometric synthetic aperture radar. The traditional PU methods estimate the absolute phase gradient based on the assumption that phase is spatially continuous. However, this assumption is often
Wenjie Zhong +7 more
doaj +1 more source

