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Related papers: Detecting Volcano Deformation in InSAR using Deep …

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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

Satellite images have the potential to detect volcanic deformation prior to eruptions, but while a vast number of images are routinely acquired, only a small percentage contain volcanic deformation events. Manual inspection could miss these…

Computer Vision and Pattern Recognition · Computer Science 2024-05-30 Robert Gabriel Popescu , Nantheera Anantrasirichai , Juliet Biggs

A problem with synthetic aperture radar (SAR) is that due to the poor penetrating action of electromagnetic waves within solid bodies, the ability to observe through distributed targets is precluded. In this context, indeed, imaging is only…

Signal Processing · Electrical Eng. & Systems 2022-07-19 Filippo Biondi

Monitoring volcanic activity is of paramount importance to safeguarding lives, infrastructure, and ecosystems. However, only a small fraction of known volcanoes are continuously monitored. Satellite-based Interferometric Synthetic Aperture…

Computer Vision and Pattern Recognition · Computer Science 2026-03-24 Nikolas Papadopoulos , Nikolaos Ioannis Bountos , Maria Sdraka , Andreas Karavias , Gustau Camps-Valls , Ioannis Papoutsis

In recent years, the growth of Machine Learning (ML) algorithms has raised the number of studies including their applicability in a variety of different scenarios. Among all, one of the hardest ones is the aerospace, due to its peculiar…

Computer Vision and Pattern Recognition · Computer Science 2021-07-29 Maria Pia Del Rosso , Alessandro Sebastianelli , Dario Spiller , Pierre Philippe Mathieu , Silvia Liberata Ullo

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

Systematic characterization of slip behaviours on active faults is key to unraveling the physics of tectonic faulting and the interplay between slow and fast earthquakes. Interferometric Synthetic Aperture Radar (InSAR), by enabling…

Synthetic Aperture Radar (SAR) data and Interferometric SAR (InSAR) products in particular, are one of the largest sources of Earth Observation data. InSAR provides unique information on diverse geophysical processes and geology, and on the…

Computer Vision and Pattern Recognition · Computer Science 2022-04-21 Nikolaos Ioannis Bountos , Ioannis Papoutsis , Dimitrios Michail , Andreas Karavias , Panagiotis Elias , Isaak Parcharidis

Active volcanoes are globally distributed and pose societal risks at multiple geographic scales, ranging from local hazards to regional/international disruptions. Many volcanoes do not have continuous ground monitoring networks; meaning…

Computer Vision and Pattern Recognition · Computer Science 2021-09-28 Jeremy Diaz , Guido Cervone , Christelle Wauthier

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…

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

In this paper we address the challenge of land cover classification for satellite images via Deep Learning (DL). Land Cover aims to detect the physical characteristics of the territory and estimate the percentage of land occupied by a…

Computer Vision and Pattern Recognition · Computer Science 2024-10-08 Eleonora Bernasconi , Francesco Pugliese , Diego Zardetto , Monica Scannapieco

Automated systems for detecting deformation in satellite InSAR imagery could be used to develop a global monitoring system for volcanic and urban environments. Here we explore the limits of a CNN for detecting slow, sustained deformations…

Image and Video Processing · Electrical Eng. & Systems 2020-01-08 N. Anantrasirichai , J. Biggs , F. Albino , D. Bull

Natural disasters, such as volcanic eruptions, pose significant challenges to daily life and incur considerable global economic losses. The emergence of next-generation small-satellites, capable of constellation-based operations, offers…

Machine Learning · Computer Science 2025-10-28 Darshana Priyasad , Tharindu Fernando , Maryam Haghighat , Harshala Gammulle , Clinton Fookes

Knowledge about frequency and location of snow avalanche activity is essential for forecasting and mapping of snow avalanche hazard. Traditional field monitoring of avalanche activity has limitations, especially when surveying large and…

Image and Video Processing · Electrical Eng. & Systems 2020-11-09 Filippo Maria Bianchi , Jakob Grahn , Markus Eckerstorfer , Eirik Malnes , Hannah Vickers

Snow avalanches present significant risks to human life and infrastructure, particularly in mountainous regions, making effective monitoring crucial. Traditional monitoring methods, such as field observations, are limited by accessibility,…

Computer Vision and Pattern Recognition · Computer Science 2025-02-26 Filippo Maria Bianchi , Jakob Grahn

Fall detection, particularly critical for high-risk demographics like the elderly, is a key public health concern where timely detection can greatly minimize harm. With the advancements in radio frequency technology, radar has emerged as a…

Robotics · Computer Science 2024-02-07 Shuting Hu , Siyang Cao , Nima Toosizadeh , Jennifer Barton , Melvin G. Hector , Mindy J. Fain

Volcanoes emit large amounts of CO2, directly influencing human lives. Mapping volcanic gas emissions helps to forecast eruptions and understand the impact of volcanoes on climate and the environment. Drone-based gas sensing significantly…

The accurate and automated determination of earthquake locations is still a challenging endeavor. However, such information is critical for monitoring seismic activity and assessing potential hazards in real time. Recently, a convolutional…

Geophysics · Physics 2020-03-03 Xiong Zhang , Jie Zhang , Congcong Yuan , Sen Liu , Zhibo Chen , Weiping Li
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