Rick Chartrand

Publication Activity (10 Years)

Years Active: 2007-2020
Publications (10 Years): 12

Top Topics

Penalty Functions

Phase Unwrapping

Top Venues

Publications

Alice M. S. Durieux, Christopher X. Ren, Matthew T. Calef, Rick Chartrand, Michael S. Warren
BUDD: Multi-modal Bayesian Updating Deforestation Detections. IGARSS (2020)
Caitlin Kontgis, Kornelijus Survila, Rick Chartrand, Dylan Rich
Estimating the Number of Harvests Per Rice Paddy Field. IGARSS (2019)
Rick Chartrand, Matthew T. Calef, Michael S. Warren
Exploiting Sparsity for Phase Unwrapping. IGARSS (2019)
Rick Chartrand
Regularized Differentiation for Insar Phase Unwrapping. IGARSS (2018)
Rick Chartrand
Numerical differentiation of noisy, nonsmooth, multidimensional data. GlobalSIP (2017)
Caitlin Kontgis, Michael S. Warren, Samuel W. Skillman, Rick Chartrand, Daniela I. Moody
Leveraging Sentinel-1 time-series data for mapping agricultural land cover and land use in the tropics. MultiTemp (2017)
Michael S. Warren, Samuel W. Skillman, Rick Chartrand, Tim Kelton, Ryan Keisler, David Raleigh, Matthew J. Turk
Data-Intensive Supercomputing in the Cloud: Global Analytics for Satellite Imagery. CoRR (2017)
Michael S. Warren, Samuel W. Skillman, Rick Chartrand, Tim Kelton, Ryan Keisler, David Raleigh, Matthew J. Turk
Data-Intensive Supercomputing in the Cloud: Global Analytics for Satellite Imagery. DataCloud@SC (2016)
Daniela I. Moody, Michael S. Warren, Samuel W. Skillman, Rick Chartrand, Steven P. Brumby, Ryan Keisler, Tim Kelton, Mark Mathis
Building a living atlas of the Earth in the cloud. ACSSC (2016)
Chandana Gangodagamage, Efi Foufoula-Georgiou, Steven P. Brumby, Rick Chartrand, Alexander Koltunov, Desheng Liu, Michael Cai, Susan L. Ustin
Wavelet-Compressed Representation of Landscapes for Hydrologic and Geomorphologic Applications. IEEE Geosci. Remote. Sens. Lett. 13 (4) (2016)
Michael S. Warren, Steven P. Brumby, Samuel W. Skillman, Tim Kelton, Brendt Wohlberg, Mark Mathis, Rick Chartrand, Ryan Keisler, Mark Johnson
Seeing the Earth in the Cloud: Processing one petabyte of satellite imagery in one day. AIPR (2015)
Joseph Woodworth, Rick Chartrand
Compressed Sensing Recovery via Nonconvex Shrinkage Penalties. CoRR (2015)
Will Landecker, Rick Chartrand, Simon DeDeo
Robust Sparse Coding and Compressed Sensing with the Difference Map. ECCV (3) (2014)
Huiyi Hu, Brendt Wohlberg, Rick Chartrand
Task-driven dictionary learning for inpainting. ICASSP (2014)
Rick Chartrand
Shrinkage mappings and their induced penalty functions. ICASSP (2014)
Rick Chartrand, Emil Y. Sidky, Xiaochuan Pan
Nonconvex compressive sensing for X-ray CT: An algorithm comparison. ACSSC (2013)
Sergey Voronin, Rick Chartrand
A new generalized thresholding algorithm for inverse problems with sparsity constraints. ICASSP (2013)
Rick Chartrand, Brendt Wohlberg
A nonconvex ADMM algorithm for group sparsity with sparse groups. ICASSP (2013)
Will Landecker, Rick Chartrand, Simon DeDeo
Robust Compressed Sensing and Sparse Coding with the Difference Map. CoRR (2013)
Rick Chartrand
Generalized shrinkage and penalty functions. GlobalSIP (2013)
Rick Chartrand
Nonconvex Splitting for Regularized Low-Rank + Sparse Decomposition. IEEE Trans. Signal Process. 60 (11) (2012)
Amy E. Galbraith, Steven P. Brumby, Rick Chartrand
Simulating vision through time: Hierarchical, sparse models of visual cortex for motion imagery. AIPR (2012)
Brendt Wohlberg, Rick Chartrand, James Theiler
Local principal component pursuit for nonlinear datasets. ICASSP (2012)
Rick Chartrand, Emil Y. Sidky, Xiaochuan Pan
Frequency extrapolation by nonconvex compressive sensing. ISBI (2011)
Rick Chartrand, Brendt Wohlberg
Total-variation regularization with bound constraints. ICASSP (2010)
Rick Chartrand, Richard G. Baraniuk, Yonina C. Eldar, Mário A. T. Figueiredo, Jared Tanner
Introduction to the Issue on Compressive Sensing. IEEE J. Sel. Top. Signal Process. 4 (2) (2010)
Rick Chartrand
Fast Algorithms for Nonconvex Compressive Sensing: MRI Reconstruction from Very Few Data. ISBI (2009)
Erik M. Bollt, Rick Chartrand, Selim Esedoglu, Pete Schultz, Kevin R. Vixie
Graduated adaptive image denoising: local compromise between total variation and isotropic diffusion. Adv. Comput. Math. 31 (1-3) (2009)
Rayan Saab, Rick Chartrand, Özgür Yilmaz
Stable sparse approximations via nonconvex optimization. ICASSP (2008)
Rick Chartrand, Valentina Staneva
A Faster-converging Algorithm for Image Segmentation with a Modified Chan-Vese Model. IPCV (2008)
Rick Chartrand, Wotao Yin
Iteratively reweighted algorithms for compressive sensing. ICASSP (2008)
Rick Chartrand
Nonconvex compressive sensing and reconstruction of gradient-sparse images: Random vs. tomographic Fourier sampling. ICIP (2008)
Triet Le, Rick Chartrand, Thomas J. Asaki
A Variational Approach to Reconstructing Images Corrupted by Poisson Noise. J. Math. Imaging Vis. 27 (3) (2007)
Rick Chartrand
Exact Reconstruction of Sparse Signals via Nonconvex Minimization. IEEE Signal Process. Lett. 14 (10) (2007)
Rick Chartrand
Nonconvex Compressed Sensing and Error Correction. ICASSP (3) (2007)
Rick Chartrand, Valentina Staneva
Nonconvex Regularization for Image Segmentation. IPCV (2007)
Rick Chartrand
Nonconvex Regularization for Shape Preservation. ICIP (1) (2007)