Publications

  1. R. Chartrand, "Regularized differentiation for InSAR phase unwrapping," in IEEE International Geoscience and Remote Sensing Symposium, Valencia, Spain, July 2018.
  2. D. I. Moody, S. P. Brumby, R. Chartrand, R. Keisler, M. Mathis, C. M. Beneke, D. Nicholaeff, S. Skillman, M. S. Warren, and J. Poehnelt, "Satellite imagery analysis for automated global food security forecasting," in SPIE Defense and Security, Orlando, Florida, April 2018.
  3. R. Chartrand, "Numerical differentiation of noisy, nonsmooth, multidimensional data," in IEEE Global Conference on Signal and Information Processing, Montreal, Canada, November 2017.
  4. C. Kontgis, M. S. Warren, S. W. Skillman, R. Chartrand, and D. I. Moody, "Leveraging Sentinel-1 time-series data for mapping agricultural land cover and land use in the tropics," in 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, Bruges, Belgium, June 2017.
  5. D. I. Moody, S. P. Brumby, R. Chartrand, R. Keisler, N. Longbotham, C. Mertes, S. W. Skillman, and M. S. Warren, "Crop classification using temporal stacks of multispectral satellite imagery," in SPIE Defense Security, Anaheim, California, April 2017.
  6. J. Woodworth and R. Chartrand, "Compressed sensing recovery via nonconvex shrinkage penalties." Inverse Problems, vol. 32, pp. 75004–75028, 2016.
  7. D. I. Moody, M. S. Warren, S. W. Skillman, R. Chartrand, S. P. Brumby, R. Keisler, T. Kelton, and M. Mathis, "Building a living atlas of the Earth in the cloud," in Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, November 2016.
  8. M. S. Warren, S. W. Skillman, R. Chartrand, T. Kelton, R. Keisler, D. Raleigh, and M. Turk, "Data-intensive supercomputing in the cloud: global analytics for satellite imagery," in 7th International Workshop in Data-Intensive Computing in the Cloud, Salt Lake City, Utah, November, 2016.
  9. C. Gangodagamage, E. Foufoula-Georgiou, S. P. Brumby, R. Chartrand, A. Koltunov, D. Liu, M. Cai, and S. L. Ustin, "Wavelet-compressed representation of landscapes for hydrologic and geomorphologic applications," IEEE Geosciences and Remote Sensing Letters vol. 13, pp. 480–484, 2016.
  10. M. S. Warren, S. P. Brumby, S. W. Skillman, T. Kelton, B. Wohlberg, M. Mathis, R. Chartrand, R. Keisler, and M. Johnson, “Seeing the Earth in the cloud: processing one petabyte of satellite imagery in one day,” in IEEE Applied Imagery and Pattern Recognition Workshop, Washington, District of Columbia, October 2015.
  11. Rick Chartrand, "Shrinkage mappings and their induced penalty functions," in IEEE International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, May 2014.
  12. Huiyi Hu, Brendt Wohlberg, and Rick Chartrand, "Task-driven dictionary learning for inpainting," in IEEE International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, May 2014.
  13. Will Landecker, Rick Chartrand, and Simon DeDeo, "Robust sparse coding and compressed sensing with the difference map," in European Conference on Computer Vision, Zurich, Switzerland, September 2014.
  14. Emil Y. Sidky, Rick Chartrand, John M. Boone, and Xiaochuan Pan, "Constrained TpV minimization for enhanced exploitation of gradient sparsity: application to CT image reconstruction," IEEE Journal Translational Engineering in Health and Medicine, vol. 2, pp. 1–18, 2014.
  15. Rick Chartrand and Brendt Wohlberg, "A nonconvex ADMM algorithm for group sparsity with sparse groups," in IEEE International Conference on Acoustics, Speech, and Signal Processing, Vancouver, Canada, May 2013.
  16. Rick Chartrand, "Nonconvex compressive sensing for X-ray CT: an algorithm comparison," in Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, November 2013.
  17. Rick Chartrand, "Generalized shrinkage and penalty functions," in IEEE Global Conference on Signal and Information Processing, Austin, Texas, December 2013.
  18. Emil Y. Sidky, Rick Chartrand, Jakob S. Jørgensen, and Xiaochuan Pan, "Nonconvex optimization for improved exploitation of gradient sparsity in CT image reconstruction," in Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Lake Tahoe, California, June 2013.
  19. Zhengping Ji, James Theiler, Rick Chartrand, Garrett Kenyon, and Steven P. Brumby, "SIFT-based sparse coding for large-scale visual recognition," in SPIE Defense, Security, and Sensing, Baltimore, Maryland, April 2013.
  20. Sergey Voronin and Rick Chartrand, "A new generalized thresholding algorithm for inverse problems with sparsity constraints," in IEEE International Conference on Acoustics, Speech, and Signal Processing, Vancouver, Canada, May 2013.
  21. Brendt Wohlberg, Rick Chartrand, and James Theiler, "Local Principal Component Pursuit for Nonlinear Datasets,", in IEEE International Conference on Acoustics, Speech, and Signal Processing, Kyoto, Japan, March 2012.
  22. Rick Chartrand, "Nonconvex splitting for regularized low-rank + sparse decomposition", IEEE Transactions on Signal Processing, vol. 60, pp. 5810–5819, 2012.
  23. Amy E. Galbraith, Steven P. Brumby, and Rick Chartrand, "Simulating vision through time: Hierarchical, sparse models of visual cortex for motion imagery," in IEEE Applied Imagery Pattern Recognition Workshop, Washington, District of Columbia, October 2012.
  24. Rick Chartrand, Emil Y. Sidky, and Xiaochuan Pan, "Frequency extrapolation by nonconvex compressive sensing," in IEEE International Symposium on Biomedical Imaging, CHicago, Illinois, March 2011.
  25. Rick Chartrand, "Numerical differentiation of noisy, nonsmooth data," ISRN Applied Mathematics, vol. 2011, Article ID 164564, 2011.
  26. Rick Chartrand and Brendt Wohlberg, "Total-variation regularization with bound constraints," in IEEE International Conference on Acoustics, Speech, and Signal Processing , Dallas, Texas, March 2010.
  27. Emil Y. Sidky, Rick Chartrand, Yuval Duchin, Christer Ullberg, and Xiaochuan Pan, "High resolution image reconstruction with constrained, total-variation minimization," in IEEE Nuclear Science Symposium Conference Record, Knoxville, Tennessee, October 2010.
  28. Rick Chartrand, "Fast algorithms for nonconvex compressive sensing: MRI reconstruction from very few data," in IEEE International Symposium on Biomedical Imaging, Boston, Massachusetts, June 2009.
  29. Rick Chartrand, Kevin R. Vixie, Brendt Wohlberg, and Erik M. Bollt, "A gradient descent solution to the Monge-Kantorovich problem", Applied Mathematical Sciences, vol. 3, pp. 1071–1080, 2009.
  30. Erik M. Bollt, Rick Chartrand, Selim Esedog̅lu, Peter F. Schultz, and Kevin R. Vixie, "Graduated, adaptive image denoising: local compromise between total-variation and isotropic diffusion", Advances in Computational Mathematics, vol. 31, pp. 61–85, 2009.
  31. C. L. Morris, C. C. Alexander, J. D. Bacon, G. S. Blanpied, K. N. Borozdin, R. Chartrand, D. J. Clark, C. J. Espinoza, A. M. Fraser, M. C. Galassi, J. J. Gomez, J. S. Gonzales, J. A. Green, N. W. Hengartner, G. E. Hogan, A. V. Klimenko, M. F. Makela, P. McGaughey, J. J. Medina, F. E. Pazuchanics, W. C. Priedhorsky, J. C. Ramsey, A. Saunders, R. C. Schirato, L. J. Schultz, and M. J. Sossong, "Tomographic imaging with cosmic-ray muons," Science & Global Security, vol. 16, pp. 37–53, 2008.
  32. Emil Y. Sidky, Ingrid Reiser, Robert M. Nishikawa, Xiaochuan Pan, Rick Chartrand, Daniel B. Kopans, and Richard H. Moore, "Practical iterative image reconstruction in digital breast tomosynthesis by non-convex TpV optimization," in SPIE Medical Imaging, San Diego, California, February 2008.
  33. Rick Chartrand, "Nonconvex compressive sensing and reconstruction of gradient-sparse images: random vs. tomographic Fourier sampling," in IEEE International Conference on Image Processing, San Diego, California, October 2008.
  34. Rick Chartrand and Valentina Staneva, "Restricted isometry properties and nonconvex compressive sensing," Inverse Problems, vol. 24, no. 035020, pp. 1–14, 2008.
  35. Rick Chartrand and Valentina Staneva, "A faster-converging algorithm for image segmentation with a modified Chan-Vese model," in International Conference on Image Processing, Computer Vision, and Pattern Recognition, Las Vegas, Nevada, July 2008.
  36. Rick Chartrand and Wotao Yin, "Iteratively reweighted algorithms for compressive sensing," in IEEE International Conference on Acoustics, Speech, and Signal Processing, Las Vegas, Nevada, April 2008.
  37. Rayan Saab, Rick Chartrand, and Özgür Yilmaz, "Stable sparse approximations via nonconvex optimization," in IEEE International Conference on Acoustics, Speech, and Signal Processing, Las Vegas, Nevada, April 2008.
  38. Rick Chartrand and Valentina Staneva, "A quasi-Newton method for total variation regularization of images corrupted by non-Gaussian noise," IET Image Processing, vol. 2, pp. 295–303, 2008.
  39. Emil Y. Sidky, Rick Chartrand, and Xiaochuan Pan, "Image reconstruction from few views by non-convex optimization," in IEEE Nuclear Science Symposium Conference Record, Honolulu, Hawaii, October 2007.
  40. Rick Chartrand and Valentina Staneva, "Nonconvex regularization for image segmentation," in International Conference on Image Processing, Computer Vision, and Pattern Recognition, Las Vegas, Nevada, June 2007.
  41. Rick Chartrand, "Nonconvex regularization for shape preservation," in IEEE International Conference on Image Processing, San Antonio, Texas, September 2007.
  42. Rick Chartrand, "Exact reconstructions of sparse signals via nonconvex minimization," IEEE Signal Processing Letters, vol. 14, pp. 707–710, 2007.
  43. Rick Chartrand, "Nonconvex compressed sensing and error correction", in IEEE International Conference on Acoustics, Speech, and Signal Processing, Honolulu, Hawaii, April 2007.
  44. C. L. Rousculp, J. E. Hammerberg, D. M. Oro, G. Rodriguez, P. M. Goodwin, M. A. Salazar, R. E. Reinovsky, R. J. Faehl, R. Chartrand, J. R. Becker, R. A. Berglin, K. W. Delzer, G. H. Gomez, R. M. Malone, D. V. Morgan, T. V. Pate, K. E. Theuer, D. A. Rigney, and H. J. Kim, "Dynamic friction experiments at the Atlas Pulsed Power Facility," in 16th IEEE International Pulsed Power Conference, Albuquerque, New Mexico, June 2007.
  45. Triet Le, Rick Chartrand, and Thomas J. Asaki, "A variational approach to reconstructing images corrupted by Poisson noise," Journal of Mathematical Imaging and Vision, vol. 27, pp. 257–263, 2007.
  46. Thomas J. Asaki, Patrick R. Campbell, Rick Chartrand, Collin E. Powell, Kevin R. Vixie, and Brendt Wohlberg, "Abel inversion using total variation regularization: Applications," Inverse Problems in Science and Engineering, vol. 14, pp. 873–885, 2006.
  47. J. A. Green, C. Alexander, T. Asaki, J. Bacon, G. Blanpied, K. Borozdin, A. Canabal-Rey, M. Cannon, R. Chartrand, D. Clark, C. Espinoza, E. Figueroa, A. Fraser, M. Galassi, J. Gomez, J. Gonzales, A. Green, N. Hengartner, G. Hogan, A. Klimenko, P. McGaughey, G. McGregor, J. Medina, C. Morris, K. Mosher, C. Orum, F. Pazuchanics, W. Priedhorsky, A. Sanchez, A. Saunders, R. Schirato, L. Schultz, M. Sossong, M. Sottile, J. Tenbrink, R. Van de Water, K. Vixie, and B. Wohlberg, "Optimizing the tracking efficiency for cosmic ray muon tomography," in 2006 IEEE Nuclear Science Symposium Conference Record, San Diego, California, October 2006.
  48. T. J. Asaki, R. Chartrand, K. R. Vixie, and B. Wohlberg, "Abel inversion using total-variation regularization," Inverse Problems, vol. 21, pp. 1895–1903, 2005.
  49. Konstantin Borozdin, Thomas Asaki, Rick Chartrand, Mark Galassi, Andrew Green, Nicolas Hengartner, Gary Hogan, Alexei Klimenko, Christopher Morris, William Priedhorsky, Alexander Saunders, Richard Schirato, Larry Schultz, and Matthew Sottile, "Cosmic-ray muon tomography and its application to the detection of high-Z materials," in Proceedings of the 46th Annual Meeting, Institute of Nuclear Materials Management, Phoenix, Arizona, July 2005.
  50. K. Borozdin, T. Asaki, R. Chartrand, N. Hengartner, G. Hogan, C. Morris, W. Priedhorsky, R. Schirato, L. Schultz, M. Sottile, K. Vixie, B. Wohlberg, and G. Blanpied, "Information extraction from muon radiography data," in ISAS/CITSA 2004: International Conference on Cybernetics and Information Technologies, Systems and Applications and 10th International Conference on Information Systems Analysis and Synthesis, Vol 2, Proceedings: Communications, Information and Control Systems, Technologies and Applications, pp. 27–30, Orlando, Florida, July 2004.
  51. Rick Chartrand, "Multipliers and Carleson measures for D(μ)," Integral Equations and Operator Theory, vol. 45, pp. 309–318, 2003.
  52. Rick Chartrand, "Toeplitz operators on Dirichlet-type spaces", Journal of Operator Theory, vol. 48, pp. 3–13, 2002.
  53. Rick Chartrand, Hilbert spaces of holomorphic functions: zero sets, invariant subspaces, and Toeplitz operators., Ph.D. thesis, University of California, Berkeley, 1999.
  54. Rick Chartrand and Thomas Kucera, "Deissler rank complexity of powers of indecomposable injective modules," Notre Dame Journal of Formal Logic, vol. 35, pp. 398–402, 1994.