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The large volumes of Sentinel-1 data produced over Europe are being used to develop pan-national ground motion services. However, simple analysis techniques like thresholding cannot detect and classify complex deformation signals reliably…

Computer Vision and Pattern Recognition · Computer Science 2020-05-14 Nantheera Anantrasirichai , Juliet Biggs , Krisztina Kelevitz , Zahra Sadeghi , Tim Wright , James Thompson , Alin Achim , David Bull

Monitoring of ground movement close to the rail corridor, such as that associated with landslips caused by ground subsidence and/or uplift, is of great interest for the detection and prevention of possible railway faults. Interferometric…

Image and Video Processing · Electrical Eng. & Systems 2022-03-07 Odysseas Pappas , Juliet Biggs , David Bull , Alin Achim , Nantheera Anantrasirichai

Satellite remote sensing is playing an increasing role in the rapid mapping of damage after natural disasters. In particular, synthetic aperture radar (SAR) can image the Earth's surface and map damage in all weather conditions, day and…

Globally 800 million people live within 100 km of a volcano and currently 1500 volcanoes are considered active, but half of these have no ground-based monitoring. Alternatively, satellite radar (InSAR) can be employed to observe volcanic…

Computer Vision and Pattern Recognition · Computer Science 2018-03-02 N. Anantrasirichai , F. Albino , P. Hill , D. Bull , J. Biggs

Earthquakes cause lasting changes in static equilibrium, resulting in global deformation fields that can be observed. Consequently, deformation measurements such as those provided by satellite based InSAR monitoring can be used to infer an…

Geophysics · Physics 2022-06-01 G. J. van Zwieten , E. H. van Brummelen , R. F. Hanssen

California's Central Valley is the national agricultural center, producing 1/4 of the nation's food. However, land in the Central Valley is sinking at a rapid rate (as much as 20 cm per year) due to continued groundwater pumping. Land…

Signal Processing · Electrical Eng. & Systems 2022-12-12 Kyongsik Yun , Kyra Adams , John Reager , Zhen Liu , Caitlyn Chavez , Michael Turmon , Thomas Lu

Satellites enable widespread, regional or global surveillance of volcanoes and can provide the first indication of volcanic unrest or eruption. Here we consider Interferometric Synthetic Aperture Radar (InSAR), which can be employed to…

Computer Vision and Pattern Recognition · Computer Science 2019-05-20 Nantheera Anantrasirichai , Juliet Biggs , Fabien Albino , David Bull

The detection of early signs of volcanic unrest preceding an eruption, in the form of ground deformation in Interferometric Synthetic Aperture Radar (InSAR) data is critical for assessing volcanic hazard. In this work we treat this as a…

Image and Video Processing · Electrical Eng. & Systems 2022-06-17 Nikolaos Ioannis Bountos , Dimitrios Michail , Ioannis Papoutsis

Monitoring ground displacement is crucial for urban infrastructure stability and mitigating geological hazards. However, forecasting future deformation from sparse Interferometric Synthetic Aperture Radar (InSAR) time-series data remains a…

Computer Vision and Pattern Recognition · Computer Science 2025-09-24 Wendong Yao , Saeed Azadnejad , Binhua Huang , Shane Donohue , Soumyabrata Dev

This study introduces an advanced methodology for automatically identifying minor deformations in flat walls caused by vibrations from nearby railway tracks. It leverages high-density Terrestrial Laser Scanner (TLS) LiDAR surveys and AI/ML…

Machine Learning · Computer Science 2025-01-22 Surjo Dey , Ankit Sharma , Hritu Raj , Susham Biswas

Synthetic aperture radar (SAR) interferometry (InSAR) is performed using repeat-pass geometry. InSAR technique is used to estimate the topographic reconstruction of the earth surface. The main problem of the range-Doppler focusing technique…

Signal Processing · Electrical Eng. & Systems 2018-03-15 Gabriele Costante , Thomas A. Ciarfuglia , Filippo Biondi

Nowadays, interferometric synthetic aperture radar (InSAR) has been a powerful tool in remote sensing by enhancing the information acquisition. During the InSAR processing, phase denoising of interferogram is a mandatory step for topography…

Image and Video Processing · Electrical Eng. & Systems 2020-12-22 Gang Xu , Yandong Gao , Jinwei Li , Mengdao Xing

Operational near-real-time monitoring of Earth's surface deformation using Interferometric Synthetic Aperture Radar (InSAR) requires processing algorithms that efficiently incorporate new acquisitions without reprocessing historical…

We present a method of constructing low-dimensional nonlinear models describing the main dynamical features of a discrete 2D cellular fault zone, with many degrees of freedom, embedded in a 3D elastic solid. A given fault system is…

Geophysics · Physics 2009-11-10 Marian Anghel , Yehuda Ben-Zion , Ramiro Rico-Martinez

Documenting the interplay between slow deformation and seismic ruptures is essential to understand the physics of earthquakes nucleation. However, slow deformation is often difficult to detect and characterize. The most pervasive seismic…

Interferometric Synthetic Aperture Radar (InSAR) is a powerful tool for monitoring surface deformation with high precision. However, low Signal-to-Noise Ratio (SNR) conditions, common in regions with low backscatter, can degrade phase…

Signal Processing · Electrical Eng. & Systems 2025-12-10 Emre Havazli , Shadi Oveisgharan , Michael Denbina , Brian Hawkins

Interferometric Synthetic Aperture Radar (InSAR) imagery for estimating ground movement, based on microwaves reflected off ground targets is gaining increasing importance in remote sensing. However, noise corrupts microwave reflections…

Image and Video Processing · Electrical Eng. & Systems 2020-01-22 Subhayan Mukherjee , Aaron Zimmer , Navaneeth Kamballur Kottayil , Xinyao Sun , Parwant Ghuman , Irene Cheng

This work focuses on assessing the fidelity of Interferometric Synthetic Aperture Radar (InSAR) as it relates to subsurface ground motion monitoring, as well as understanding uncertainty in modeling active landslide scarp displacement for…

Over the past decade, Interferometric Synthetic Aperture Radar (InSAR) has become a successful remote sensing technique. However, during the acquisition step, microwave reflections received at satellite are usually disturbed by strong…

Image and Video Processing · Electrical Eng. & Systems 2020-05-28 Xinyao Sun , Aaron Zimmer , Subhayan Mukherjee , Navaneeth Kamballur Kottayil , Parwant Ghuman , Irene Cheng

The Allan variance was introduced fifty years ago for analyzing the stability of frequency standards. Beside its metrological interest, it is also an estimator of the large trends of the power spectral density (PSD) of frequency deviation.…

Data Analysis, Statistics and Probability · Physics 2015-06-04 Olivier Cavalié , François Vernotte
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