activity
20082024
most citedNonlinear Krylov Acceleration Applied to a Discrete Ordinates Formulation of the k-Eigenvalue Problem

50 citations · 65 across the 9 of their papers we have counts for

collaborators

10 papers

eess.IV2024

Deformation monitoring with Sentinel-1 Wave mode data

Piyush S. Agram, Matthew T. Calef, Kelly M. Olsen +2

We describe the salient characteristics of Sentinel-1 wave (WV) mode vignettes. We describe our approach for working with WV mode data that enables vignette-based data access and p…

eess.IV2024

Merging Point Data for InSAR Deformation Processing

Matthew T. Calef, Kelly M. Olsen, Piyush S. Agram

Given a collection of points , which is partitioned into overlapping subsets , and approximate data associated with t…

stat.AP2020★ 2 cited

On the Detectability of Conflict: a Remote Sensing Study of the Rohingya Conflict

Christopher X. Ren, Matthew T. Calef, Alice M. S. Durieux +2

The detection and quantification of conflict through remote sensing modalities represents a challenging but crucial aspect of human rights monitoring. In this work we demonstrate h…

stat.AP2020

BUDD: Multi-modal Bayesian Updating Deforestation Detections

Alice M. S Durieux, Christopher X. Ren, Matthew T. Calef +2

The global phenomenon of forest degradation is a pressing issue with severe implications for climate stability and biodiversity protection. In this work we generate Bayesian updati…

cs.CV2019

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…

cond-mat.soft2015★ 13 cited

Estimating the Number of Stable Configurations for the Generalized Thomson Problem

Matthew Calef, Whitney Griffiths, Alexia Schulz

Given a natural number N, one may ask what configuration of N points on the two-sphere minimizes the discrete generalized Coulomb energy. If one applies a gradient-based numerical…