Discriminative sparse representations in hyperspectral imagery

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2010, Pages 1313-1316

  Castrodad, Alexey ^a   Xing, Zhengming ^b   Greer, John ^c   Bosch, Edward ^c   Carin, Lawrence ^b   Sapiro, Guillermo ^a  

^a UNIVERSITY OF MINNESOTA   (United States)

^b DUKE UNIVERSITY   (United States)

^c NONE

Author keywords

Classification; Dictionary learning; Hyperspectral imagery; Sparse modeling

Indexed keywords

CLASSIFICATION; CLASSIFICATION TASKS; DICTIONARY LEARNING; HIGH POTENTIAL; HYPERSPECTRAL DATA; HYPERSPECTRAL IMAGERY; LINEAR MIXING MODELS; MATERIAL CLASSIFICATION; ORIGINAL IMAGES; RECONSTRUCTION ERROR; SPARSE MODELING; SPARSE REPRESENTATION; SUB-PIXEL CLASSIFICATION; URBAN TERRAIN;

COLOR IMAGE PROCESSING; IMAGING SYSTEMS;

REMOTE SENSING;

EID: 78651093180     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2010.5651568     Document Type: Conference Paper

References (15)

1. A. M. Bruckstein, D. L. Donoho, and M. Elad, "From sparse solutions of systems of equations to sparse modeling of signals and images," SIAM Review, vol. 51, no. 1, pp. 34-81, 2009.
2. J. Mairal, F. Bach, J. Ponce, G. Sapiro, and A. Zisserman, "Discriminative learned dictionaries for local image analysis," in CVPR, 2008, pp. 1-8.
3. J. Mairal, F. Bach, J. Ponce, G. Sapiro, and A. Zisserman, "Supervised dictionary learning," in NIPS, 2008, pp. 1033-1040.
4. J. Mairal, M. Leordeanu, F. Bach, M. Hebert, and J. Ponce, "Discriminative sparse image models for class-specific edge detection and image interpretation," in ECCV, 2008.
5. R. Raina, A. Battle, H Lee, B. Packer, and A. Y. Ng, "Self-taught learning: Transfer learning from unlabeled data," in Proceedings of the Twenty-fourth International Conference on Machine Learning, 2007.
6. E. Elhamifar and R. Vidal, "Sparse subspace clustering," in ICCV, 2009.
7. P. Sprechmann and G. Sapiro, "Dictionary learning and sparse coding for unsupervised clustering," in ICASSP (to appear), 2010.
8. J. Wright, A. Y. Yang, A. Ganesh, S. S. Sastry, and Yi Ma, "Robust face recognition via sparse representation," PAMI, vol. 31, no. 2, pp. 210-227, 2008.
9. M. Zhou, H. Chen, J. Paisley, L. Ren, G. Sapiro, and L. Carin, "Nonparametric bayesian dictionary learning for sparse image representations," in NIPS, 2009.
10. R. Tibshirani, "Regression shrinkage and selection via the lasso," Journal of the Royal Statistical Society, Series B, vol. 58, pp. 267-288, 1994.
11. M. Aharon, M. Elad, and A. Bruckstein, "K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation," Signal Processing, IEEE Transactions on, vol. 54, no. 11, pp. 4311-4322, 2006.
12. Z. Guo and S. Osher, "Template matching via l1 minimization and its application to hyperspectral target detection," Tech. Rep. 09-103, UCLA, www.math.ucla.edu/applied/cam/, 2009.
13. N. Keshava and J.F. Mustard, "Spectral unmixing," Signal Processing Magazine, IEEE, vol. 19, no. 1, pp. 44-57, 2002.
14. Z. Guo, T. Wittman, and S. Osher, "L1 unmixing and its applications to hyperspectral image enhancement," Tech. Rep. 09-30, UCLA, www.math.ucla.edu/applied/cam/2009.
15. M. Velez-Reyes and S. Rosario, "Solving adundance estimation in hyperspectral unmixing as a least distance problem," in IGARSS, 2004, vol. 5, pp. 3276-3278.