A hypergraph based semi-supervised band selection method for hyperspectral image classification

2013 IEEE International Conference on Image Processing, ICIP 2013 - Proceedings

Volumn , Issue , 2013, Pages 3137-3141

  Guo, Zhouxiao ^a   Bai, Xiao ^a   Zhang, Zhihong ^b   Zhou, Jun ^c  

^a BEIHANG UNIVERSITY   (China)

^b XIAMEN UNIVERSITY   (China)

^c GRIFFITH UNIVERSITY   (Australia)

Author keywords

Band selection; Hypergraph; Hyperspectral imaging; Image region classification

Indexed keywords

DATA HANDLING; HYPERSPECTRAL IMAGING; IMAGE CLASSIFICATION; LEARNING SYSTEMS; SPECTROSCOPY;

BAND SELECTION; HYPERGRAPH; HYPERSPECTRAL DATA; IMAGE REGIONS; MODEL PERFORMANCE; OBJECT INFORMATION; SEMI-SUPERVISED LEARNING METHODS; UNLABELED SAMPLES;

SEMI-SUPERVISED LEARNING;

EID: 84897768048     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2013.6738646     Document Type: Conference Paper

References (19)

1. A. Agarwal, T. El-Ghazawi, H. El-Askary, and J. Le-Moigne, "Efficient hierarchical-pca dimension reduction for hyperspectral imagery," in Signal Processing and Information Technology, 2007 IEEE International Symposium on. IEEE, 2007, pp. 353-356.
2. J. Wang and C.I. Chang, "Independent component analysis-based dimensionality reduction with applications in hyperspectral image analysis," IEEE Transactions on Geoscience and Remote Sensing, vol. 44, no. 6, pp. 1586-1600, 2006.
3. C.I. Chang and S. Wang, "Constrained band selection for hyperspectral imagery," IEEE Transactions on Geoscience and Remote Sensing, vol. 44, no. 6, pp. 1575-1585, 2006.
4. P. Bajcsy and P. Groves, "Methodology for hyperspec-tral band selection," Photogrammetric engineering and remote sensing, vol. 70, pp. 793-802, 2004.
5. R. Archibald and G. Fann, "Feature selection and classification of hyperspectral images with support vector machines," IEEE Geoscience and Remote Sensing Letters, vol. 4, no. 4, pp. 674-677, 2007.
6. M. Riedmann and E.J. Milton, "Supervised band selection for optimal use of data from airborne hyperspectral sensors," pp. 1770-1772, 2003.
7. H. Yang, Q. Du, H. Su, and Y. Sheng, "An efficient method for supervised hyperspectral band selection," IEEE Geoscience and Remote Sensing Letters, vol. 8, no. 1, pp. 138-142, 2011.
8. B. Guo, S.R. Gunn, RI Damper, and JDB Nelson, "Band selection for hyperspectral image classification using mutual information," IEEE Geoscience and Remote Sensing Letters, vol. 3, no. 4, pp. 522-526, 2006.
9. Futian Yao and Yuntao Qian, "Band selection based gaussian processes for hyperspectral remote sensing images classification," in Proceeding of the IEEE International Conference on Image Processing, nov. 2009, pp. 2845-2848.
10. P. Mitra, CA Murthy, and S.K. Pal, "Unsupervised feature selection using feature similarity," IEEE transactions on pattern analysis and machine intelligence, vol. 24, no. 3, pp. 301-312, 2002.
11. S.B. Serpico and L. Bruzzone, "A new search algorithm for feature selection in hyperspectral remote sensing images," Geoscience and Remote Sensing, IEEE Transactions on, vol. 39, no. 7, pp. 1360-1367, 2001.
12. M. Dash, H. Liu, and J. Yao, "Dimensionality reduction of unsupervised data," in Proceedings of the Ninth IEEE International Conference on Tools with Artificial Intelligence. IEEE, 1997, pp. 532-539.
13. F. Nie, S. Xiang, Y. Liu, and C. Zhang, "A general graph-based semi-supervised learning with novel class discovery," Neural Computing &Applications, vol. 19, no. 4, pp. 549-555, 2010.
14. K. Kobayashi et al., Mathematics of information and coding, vol. 203, Amer Mathematical Society, 2002.
15. T. Sun Han, "Multiple mutual informations and multiple interactions in frequency data," Information and Control, vol. 46, no. 1, pp. 26-45, 1980.
16. B. Efron, T. Hastie, I. Johnstone, and R. Tibshirani, "Least angle regression," The Annals of statistics, vol. 32, no. 2, pp. 407-499, 2004.
17. B. Efron, T. Hastie, I. Johnstone, and R. Tibshirani, "Feature selection for classification of hyperspectral data by svm," IEEE Transactions of Geoscience and Remote Sensing, vol. 48, no. 5, pp. 2297-2307, 2010.
18. C.I. Chang, Q. Du, T.L. Sun, and M.L.G. Althouse, "A joint band prioritization and band-decorrelation approach to band selection for hyperspectral image classification," Geoscience and Remote Sensing, IEEE Transactions on, vol. 37, no. 6, pp. 2631-2641, 1999.
19. Y. Qian, F. Yao, and S. Jia, "Band selection for hyperspectral imagery using affinity propagation," IET Computer Vision, vol. 3, no. 4, pp. 213-222, 2009.