Semi-supervised hyperspectral image classification using spatio-spectral laplacian support vector machine

IEEE Geoscience and Remote Sensing Letters

Volumn 11, Issue 3, 2013, Pages 651-655

  Yang, Lixia ^a   Yang, Shuyuan ^a   Jin, Penglei ^a   Zhang, Rui ^a  

^a XIDIAN UNIVERSITY   (China)

Author keywords

Hyperspectral image classification (HIC); Semi supervised classification; Spatial constraint; Spatio spectral Laplacian support vector machine (SS LapSVM)

Indexed keywords

INDEPENDENT COMPONENT ANALYSIS; LAPLACE TRANSFORMS; SPECTROSCOPY; SUPERVISED LEARNING; SUPPORT VECTOR MACHINES; VECTORS;

HYPER-SPECTRAL IMAGES; HYPERSPECTRAL IMAGE CLASSIFICATION; LAPLACIANS; MISCLASSIFICATIONS; SEMI-SUPERVISED CLASSIFICATION; SPATIAL CONSTRAINTS; SPECTRAL INFORMATION; STATE OF THE ART;

IMAGE CLASSIFICATION;

EID: 84883080198     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2013.2273792     Document Type: Article

References (18)

1. C. C. Hung, S. Kulkarni, and B. C. Kuo, "A new weighted fuzzy c-means clustering algorithm for remotely sensed image classification," IEEE J. Sel. Topics Signal Process., vol. 5, no. 3, pp. 543-553, Jun. 2011.
2. A. Villa, J. A. Benediktsson, J. Chanussot, and C. Jutten, "Hyperspectral image classification with independent component discriminant analysis," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 12, pp. 4865-4876, Dec. 2011.
3. F. A. Mianji and Y. Zhang, "Robust hyperspectral classification using relevance vector machine," IEEE Trans. Geosci. Remote Sens., vol. 49, no. 6, pp. 2100-2112, Jun. 2011.
4. O. Chapelle, B. Scholkopf, and A. Zienn, Semi-Supervised Learning. London, U.K.: MIT Press, 2006, pp. 1-274.
5. J. Li, J. M. B. Dias, and A. Plaza, "Semi-supervised hyperspectral image classification using soft sparse multinomial logistic regression," IEEE Geosci. Remote Sens. Lett., vol. 10, no. 2, pp. 318-322, Mar. 2013.
6. L. Bruzzone, M. Chi, and M. Marconcini, "A novel transductive SVM for semisupervised classification of remote sensing images," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 11, pp. 3363-3373, Nov. 2006.
7. Y. F. Gu and K. Feng, "L1-graph semisupervised learning for hyperspectral image classification," in Proc. IEEE Int. Geosci. Remote Sens. Symp., Munich, Germany, 2012, pp. 1401-1404.
8. M. Belkin, P. Niyogi, and V. Sindhwani, "Manifold regularization: A geometric framework for learning from labeled and unlabeled examples," J. Mach. Learn. Res., vol. 7, pp. 2399-2434, Dec. 2006.
9. L. Gomez-Chova, G. Camps-Valls, J. Muñoz-Mari, and J. Calpe, "Semisupervised image classification with Laplacian support vector machines," IEEE Geosci. Remote Sens. Lett., vol. 5, no. 3, pp. 336-340, Jul. 2008.
10. W. Kim and M. M. Crawford, "Adaptive classification for hyperspectral image data using manifold regularization kernel machines," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 11, pp. 4110-4121, Nov. 2010.
11. O. Rajadell, P. García-Sevilla, and F. Pla, "Spectral-spatial pixel characterization using Gabor filters for hyperspectral image classification," IEEE Geosci. Remote Sens. Lett., vol. 10, no. 4, pp. 860-864, Jul. 2013.
12. M. Fauvel, Y. Tarabalka, J. A. Benediktsson, J. Chanussot, and J. C. Tilton, "Advances in spectral-spatial classification of hyperspectral images," Proc. IEEE, vol. 101, no. 3, pp. 652-675, Mar. 2013.
13. A. N. Tikhonov, "Regularization of incorrectly posed problems," Numer. Funct. Anal. Optim., vol. 21, no. 4, pp. 1624-1627, 1963.
14. B. Scholkopf and A. Smola, Learning with Kernels-Support Vector Machines, Regularization, Optimization and Beyond. London, U.K.: MIT Press, 2002.
15. S. Melacci and M. Belkin, "Laplacian support vector machines trained in the primal," J. Mach. Learn. Res., vol. 12, no. 3, pp. 1149-1184, Feb. 2011.
16. S. S. Keerthi, O. Chapelle, and D. De Coste, "Building support vector machines with reduced classifier complexity," J. Mach. Learn. Res., vol. 7, pp. 1493-1515, Dec. 2006.
17. J. A. Gualtieri and R. F. Cromp, "Support vector machines for hyperspectral remote sensing classification," in Proc. SPIE 3584, 27th AIPR Workshop, Washington, DC, USA, 1998, pp. 221-232.
18. J. A. Richards and X. Jia, Remote Sensing Digital Image Analysis: An Introduction, 4th ed. New York, NY, USA: Springer-Verlag, 2006.