4.7 Article

Time-Series Prediction Approaches to Forecasting Deformation in Sentinel-1 InSAR Data

Related references

Note: Only part of the references are listed.
Article Business, Finance

Universal features of price formation in financial markets: perspectives from deep learning

Justin Sirignano et al.

QUANTITATIVE FINANCE (2019)

Article Environmental Sciences

A deep learning approach to detecting volcano deformation from satellite imagery using synthetic datasets

N. Anantrasirichai et al.

REMOTE SENSING OF ENVIRONMENT (2019)

Article Geochemistry & Geophysics

Using Machine Learning to Automatically Detect Volcanic Unrest in a Time Series of Interferograms

M. E. Gaddes et al.

JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH (2019)

Article Geosciences, Multidisciplinary

The Application of Convolutional Neural Networks to Detect Slow, Sustained Deformation in InSAR Time Series

N. Anantrasirichai et al.

GEOPHYSICAL RESEARCH LETTERS (2019)

Article Energy & Fuels

A meta-analysis of coal mining induced subsidence data and implications for their use in the carbon industry

Alistair T. McCay et al.

INTERNATIONAL JOURNAL OF COAL GEOLOGY (2018)

Article Environmental Sciences

Forecasting Hourly Water Demands With Seasonal Autoregressive Models for Real-Time Application

Jinduan Chen et al.

WATER RESOURCES RESEARCH (2018)

Article Environmental Sciences

Multi-Temporal InSAR Structural Damage Assessment: The London Crossrail Case Study

Pietro Milillo et al.

REMOTE SENSING (2018)

Article Remote Sensing

Remote monitoring to predict bridge scour failure using Interferometric Synthetic Aperture Radar (InSAR) stacking techniques

Sivasakthy Selvakumaran et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2018)

Article Geochemistry & Geophysics

Application of Machine Learning to Classification of Volcanic Deformation in Routinely Generated InSAR Data

N. Anantrasirichai et al.

JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH (2018)

Article Geochemistry & Geophysics

Blind Signal Separation Methods for InSAR: The Potential to Automatically Detect and Monitor Signals of Volcanic Deformation

M. E. Gaddes et al.

JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH (2018)

Article Geosciences, Multidisciplinary

Large-scale InSAR monitoring of permafrost freeze-thaw cycles on the Tibetan Plateau

Simon Daout et al.

GEOPHYSICAL RESEARCH LETTERS (2017)

Article Engineering, Electrical & Electronic

Bridge Displacements Monitoring Using Space-Borne X-Band SAR Interferometry

Milan Lazecky et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2017)

Article Computer Science, Artificial Intelligence

LSTM: A Search Space Odyssey

Klaus Greff et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2017)

Article Geochemistry & Geophysics

InSAR processing for volcano monitoring and other near-real time applications

Karsten Spaans et al.

JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH (2016)

Article Geosciences, Multidisciplinary

Seasonal tropospheric influence on SAR interferograms near the ITCZ - The case of Fogo Volcano and Mount Cameroon

S. I. N. Heleno et al.

JOURNAL OF AFRICAN EARTH SCIENCES (2010)

Article Geochemistry & Geophysics

SAR monitoring of progressive and seasonal ground deformation using the permanent scatterers technique

C Colesanti et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2003)

Article Geochemistry & Geophysics

Satellite interferometric observations of displacements associated with seasonal groundwater in the Los Angeles basin

KM Watson et al.

JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH (2002)