4 citations · 4 across the 3 of their papers we have counts for
5 papers · 1 filter
Feature Augmentation Improves Anomalous Change Detection for Human Activity Identification in Synthetic Aperture Radar Imagery
Hannah J. Murphy, Christopher X. Ren, Matthew T. Calef
Anomalous change detection (ACD) methods separate common, uninteresting changes from rare, significant changes in co-registered images collected at different points in time. In thi…
Cycle-Consistent Adversarial Networks for Realistic Pervasive Change Generation in Remote Sensing Imagery
Christopher X. Ren, Amanda Ziemann, Alice M. S. Durieux +1
This paper introduces a new method of generating realistic pervasive changes in the context of evaluating the effectiveness of change detection algorithms in controlled settings. T…
Machine Learning Reveals the Seismic Signature of Eruptive Behavior at Piton de la Fournaise Volcano
C. X. Ren, A. Peltier, V. Ferrazzini +3
Volcanic tremor is key to our understanding of active magmatic systems but, due to its complexity, there is still a debate concerning its origins and how it can be used to characte…
Machine Learning Reveals the State of Intermittent Frictional Dynamics in a Sheared Granular Fault
C. X. Ren, O. Dorostkar, B. Rouet-Leduc +5
Seismogenic plate boundaries are presumed to behave in a similar manner to a densely packed granular medium, where fault and blocks systems rapidly rearrange the distribution of fo…
From Stress Chains to Acoustic Emission
Ke Gao, Robert Guyer, Esteban Rougier +2
A numerical scheme using the combined finite-discrete element methods (FDEM) is employed to study a model of an earthquake system comprising a granular layer embedded in a formatio…