Semisupervised Hyperspectral Image Classification via Neighborhood Graph Learning

IEEE Geoscience and Remote Sensing Letters

Volumn 12, Issue 9, 2015, Pages 1913-1917

  Im, Daniel Jiwoong ^a   Taylor, Graham W ^a  

^a UNIVERSITY OF GUELPH   (Canada)

Author keywords

Aerial image analysis; Hyperspectral image (HSI) classification; Neural networks; Semisupervised learning (SSL)

Indexed keywords

NEURAL NETWORKS; SPECTROSCOPY; SUPERVISED LEARNING;

AERIAL IMAGE ANALYSIS; BINARY CLASSIFIERS; HYPERSPECTRAL IMAGE CLASSIFICATION; HYPERSPECTRAL IMAGES; LABELED AND UNLABELED DATA; NEIGHBORHOOD GRAPHS; SEMI-SUPERVISED; SEMI-SUPERVISED LEARNING (SSL);

IMAGE CLASSIFICATION;

EID: 85027953866     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2015.2438227     Document Type: Article

References (15)

1. G. Camps-Valls, D. Tuia, L. Bruzzone, and J. A. Benediktsson, "Advances in hyperspectral image classification: Earth monitoring with statistical learning methods, " IEEE Signal Process. Mag., vol. 31, no. 1, pp. 45-54, Jan. 2014.
2. X. Zhu, "Semi-supervised learning literature survey, " Comput. Sci., Univ. Wisconsin-Madison, Madison, WI, USA, Tech. Rep. 1530, Sep. 2005.
3. 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.
4. L. Gómez-Chova, G. Camps-Valls, J. Muñoz Marì, and J. Calpe, "Semisu-pervised image classification with Laplacian SVMs, " IEEE Geosci. Remote Sens. Lett., vol. 5, no. 3, pp. 336-340, Jul. 2008.
5. G. Camps-Valls, T. V. Bandos, and D. Zhou, "Semi-supervised graph-based hyperspectral image classification, " IEEE Geosci. Remote Sens. Lett., vol. 45, no. 10, pp. 3044-3054, Oct. 2007.
6. F. Ratle, G. Camps-Valls, and J. Weston, "Semisupervised neural networks for efficient hyperspectral image classification, " IEEE Trans. Geosci. Remote Sens., vol. 48, no. 5, pp. 2271-2282, May 2010.
7. B. Kulis, "Metric learning: A survey, " Found. Trends Mach. Learn., vol. 5, no. 4, pp. 287-364, 2012.
8. L. Yang, R. Jin, R. Sukthankar, and Y. Liu, "An efficient algorithm for local distance metric learning, " in Proc. 21st AAAI, 2006, pp. 543-548.
9. G. Camps-Valls, L. Gómez-Chova, J. Muñoz Marì, J. Vila-Francés, and J. Calpe-Maravilla, "Composite kernels for HSI classification, " IEEE Geosci. Remote Sens. Lett., vol. 3, no. 1, pp. 93-97, 2006.
10. D. Tuia and G. Camps-Valls, "Semisupervised remote sensing image classification with cluster kernels, " IEEE Geosci. Remote Sens. Lett., vol. 6, no. 2, pp. 224-228, Apr. 2009.
11. R. Hadsell, S. Chopra, and Y. LeCun, "Dimensionality reduction by learning an invariant mapping, " in Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recog., 2006, pp. 1735-1742.
12. X. Zhu, Z. Ghahramani, and J. Lafferty, "Semi-supervised learning using Gaussian fields and harmonic functions, " in Proc. ICML, 2003, pp. 912-919.
13. E. P. Xing, A. Y. Ng, M. I. Jordan, and S. Russell, "Distance metric learning, with app. to clustering with side-information, " in Proc. Adv. Neural Inf. Process. Syst., 2003, pp. 505-512.
14. J. Goldberger, S. Roweis, G. Hinton, and R. Salakhutdinov, "Neighbourhood component analysis, " in Proc. Adv. Neural Inf. Process. Syst., 2004, pp. 513-520.
15. R. Memisevic, "Gradient-based learning of higher-order image features, " in Proc. ICCV, Nov. 2011, pp. 1591-1598.