An adaptive IHS pan-sharpening method S Rahmani, M Strait, D Merkurjev, M Moeller, T Wittman IEEE Geoscience and Remote Sensing Letters 7 (4), 746-750, 2010 | 495 | 2010 |
L1 unmixing and its application to hyperspectral image enhancement Z Guo, T Wittman, S Osher Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2009 | 189 | 2009 |
A variational approach for sharpening high dimensional images M Möller, T Wittman, AL Bertozzi, M Burger SIAM Journal on Imaging Sciences 5 (1), 150-178, 2012 | 111 | 2012 |
A variational approach to hyperspectral image fusion M Moeller, T Wittman, AL Bertozzi Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2009 | 77 | 2009 |
Mathematical techniques for image interpolation T Wittman Report Submitted for Completion of Mathematics Department Oral Exam …, 2005 | 48 | 2005 |
Manifold learning matlab demo T Wittman Department of Mathematics, University of Minnesota, 2005 | 41 | 2005 |
Variational wavelet pan-sharpening M Moeller, T Wittman, AL Bertozzi CAM Report, 08-81, 2008 | 40 | 2008 |
Improving density estimation by incorporating spatial information LM Smith, MS Keegan, T Wittman, GO Mohler, AL Bertozzi EURASIP Journal on Advances in Signal Processing 2010, 1-12, 2010 | 32 | 2010 |
Time-series clustering and association analysis of financial data T Wittman University of Texas, Austin, 2002 | 32 | 2002 |
Lost in the supermarket: Decoding blurry barcodes T Wittman SIAM News 37 (7), 16, 2004 | 31 | 2004 |
Automated vasculature extraction from placenta images N Almoussa, B Dutra, B Lampe, P Getreuer, T Wittman, C Salafia, L Vese Medical Imaging 2011: Image Processing 7962, 501-510, 2011 | 27 | 2011 |
A comparative analysis of dimension reduction algorithms on hyperspectral data K Burgers, Y Fessehatsion, S Rahmani, J Seo, T Wittman LAMDA Research Group, 1-23, 2009 | 25 | 2009 |
Efficient boundary tracking through sampling A Chen, T Wittman, AG Tartakovsky, AL Bertozzi Applied Mathematics Research eXpress 2011 (2), 182-214, 2011 | 15 | 2011 |
Image segmentation through efficient boundary sampling A Chen, T Wittman, A Tartakovsky, A Bertozzi SAMPTA'09, Special session on sampling and (in) painting, 2009 | 14 | 2009 |
Variational Approaches to Digital Zooming TC Wittman University of Minnesota, 2006 | 13 | 2006 |
Segmentation for hyperspectral images with priors J Ye, T Wittman, X Bresson, S Osher Advances in Visual Computing: 6th International Symposium, ISVC 2010, Las …, 2010 | 11 | 2010 |
Manifold Learning Techniques: So which is the best T Wittman Class on geometric data analysis at University of Minnesota, 2005 | 9 | 2005 |
An introduction to mathematical image processing L Vese, T Wittman Under graduate summer school, 2010 | 7 | 2010 |
Face Detection and Neural Network T Wittman Department of Mathematics Paper, University of Minnesota, 2001 | 6 | 2001 |
Evaluation of pan-sharpening methods D Merkurjev, S Rahmani, M Strait, F Adviser, T Wittman IEEE Transactions on Geo-Science & Remote Sensing 45, 1-6, 2007 | 4 | 2007 |