Rick Chartrand

According to our database, Rick Chartrand authored at least 36 papers between 2007 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

BUDD: Multi-modal Bayesian Updating Deforestation Detections.

Alice M. S. Durieux, Christopher X. Ren, Matthew T. Calef, Rick Chartrand, Michael S. Warren

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Estimating the Number of Harvests Per Rice Paddy Field.

Caitlin Kontgis, Kornelijus Survila, Rick Chartrand, Dylan Rich

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Exploiting Sparsity for Phase Unwrapping.

Rick Chartrand, Matthew T. Calef, Michael S. Warren

Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018

Regularized Differentiation for Insar Phase Unwrapping.

Rick Chartrand

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017

Leveraging Sentinel-1 time-series data for mapping agricultural land cover and land use in the tropics.

Caitlin Kontgis, Michael S. Warren, Samuel W. Skillman, Rick Chartrand, Daniela I. Moody

Proceedings of the 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, 2017

Numerical differentiation of noisy, nonsmooth, multidimensional data.

Rick Chartrand

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016

Wavelet-Compressed Representation of Landscapes for Hydrologic and Geomorphologic Applications.

Chandana Gangodagamage, Efi Foufoula-Georgiou, Steven P. Brumby, Rick Chartrand, Alexander Koltunov, Desheng Liu, Michael Cai, Susan L. Ustin

IEEE Geosci. Remote. Sens. Lett., 2016

Data-Intensive Supercomputing in the Cloud: Global Analytics for Satellite Imagery.

Michael S. Warren, Samuel W. Skillman, Rick Chartrand, Tim Kelton, Ryan Keisler, David Raleigh, Matthew J. Turk

Proceedings of the Seventh International Workshop on Data-Intensive Computing in the Clouds, 2016

Building a living atlas of the Earth in the cloud.

Daniela I. Moody, Michael S. Warren, Samuel W. Skillman, Rick Chartrand, Steven P. Brumby, Ryan Keisler, Tim Kelton, Mark Mathis

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

Compressed Sensing Recovery via Nonconvex Shrinkage Penalties.

Joseph Woodworth, Rick Chartrand

CoRR, 2015

Seeing the Earth in the Cloud: Processing one petabyte of satellite imagery in one day.

Michael S. Warren, Steven P. Brumby, Samuel W. Skillman, Tim Kelton, Brendt Wohlberg, Mark Mathis, Rick Chartrand, Ryan Keisler, Mark Johnson

Proceedings of the 2015 IEEE Applied Imagery Pattern Recognition Workshop, 2015

2014

Task-driven dictionary learning for inpainting.

Huiyi Hu, Brendt Wohlberg, Rick Chartrand

Proceedings of the IEEE International Conference on Acoustics, 2014

Shrinkage mappings and their induced penalty functions.

Rick Chartrand

Proceedings of the IEEE International Conference on Acoustics, 2014

Robust Sparse Coding and Compressed Sensing with the Difference Map.

Will Landecker, Rick Chartrand, Simon DeDeo

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Robust Compressed Sensing and Sparse Coding with the Difference Map.

Will Landecker, Rick Chartrand, Simon DeDeo

CoRR, 2013

A new generalized thresholding algorithm for inverse problems with sparsity constraints.

Sergey Voronin, Rick Chartrand

Proceedings of the IEEE International Conference on Acoustics, 2013

A nonconvex ADMM algorithm for group sparsity with sparse groups.

Rick Chartrand, Brendt Wohlberg

Proceedings of the IEEE International Conference on Acoustics, 2013

Generalized shrinkage and penalty functions.

Rick Chartrand

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Nonconvex compressive sensing for X-ray CT: An algorithm comparison.

Rick Chartrand, Emil Y. Sidky, Xiaochuan Pan

Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012

Nonconvex Splitting for Regularized Low-Rank + Sparse Decomposition.

Rick Chartrand

IEEE Trans. Signal Process., 2012

Local principal component pursuit for nonlinear datasets.

Brendt Wohlberg, Rick Chartrand, James Theiler

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Simulating vision through time: Hierarchical, sparse models of visual cortex for motion imagery.

Amy E. Galbraith, Steven P. Brumby, Rick Chartrand

Proceedings of the 2012 IEEE Applied Imagery Pattern Recognition Workshop, 2012

2011

Frequency extrapolation by nonconvex compressive sensing.

Rick Chartrand, Emil Y. Sidky, Xiaochuan Pan

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010

Introduction to the Issue on Compressive Sensing.

Rick Chartrand, Richard G. Baraniuk, Yonina C. Eldar, Mário A. T. Figueiredo, Jared Tanner

IEEE J. Sel. Top. Signal Process., 2010

Total-variation regularization with bound constraints.

Rick Chartrand, Brendt Wohlberg

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

Graduated adaptive image denoising: local compromise between total variation and isotropic diffusion.

Erik M. Bollt, Rick Chartrand, Selim Esedoglu, Pete Schultz, Kevin R. Vixie

Adv. Comput. Math., 2009

Fast Algorithms for Nonconvex Compressive Sensing: MRI Reconstruction from Very Few Data.

Rick Chartrand

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008

A Faster-converging Algorithm for Image Segmentation with a Modified Chan-Vese Model.

Rick Chartrand, Valentina Staneva

Proceedings of the 2008 International Conference on Image Processing, 2008

Nonconvex compressive sensing and reconstruction of gradient-sparse images: Random vs. tomographic Fourier sampling.

Rick Chartrand

Proceedings of the International Conference on Image Processing, 2008

Stable sparse approximations via nonconvex optimization.

Rayan Saab, Rick Chartrand, Özgür Yilmaz

Proceedings of the IEEE International Conference on Acoustics, 2008

Iteratively reweighted algorithms for compressive sensing.

Rick Chartrand, Wotao Yin

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Exact Reconstruction of Sparse Signals via Nonconvex Minimization.

Rick Chartrand

IEEE Signal Process. Lett., 2007

A Variational Approach to Reconstructing Images Corrupted by Poisson Noise.

Triet Le, Rick Chartrand, Thomas J. Asaki

J. Math. Imaging Vis., 2007

Nonconvex Regularization for Image Segmentation.

Rick Chartrand, Valentina Staneva

Proceedings of the 2007 International Conference on Image Processing, 2007

Nonconvex Regularization for Shape Preservation.

Rick Chartrand

Proceedings of the International Conference on Image Processing, 2007

Nonconvex Compressed Sensing and Error Correction.

Rick Chartrand

Proceedings of the IEEE International Conference on Acoustics, 2007