A new contextual version of Support Vector Machine based on hyperplane translation

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2013, Pages 3116-3119

  Negri, Rogerio Galante ^a   Sant'Anna, Sidnei Joao Siqueira ^a   Dutra, Luciano Vieira ^a  

^a INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS   (Brazil)

Author keywords

contextual information; hiperplane translation; Image classification; Support Vector Machine

Indexed keywords

EID: 84894229698     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2013.6723486     Document Type: Conference Paper

References (9)

1. O. Besbes, N Boujemaa, and Z Belhadj, "Contextual Classification of High-Resolution Satellite Images," in IEEE Symposium on Computational Intelligence for Image Processing, Waterloo, Canada, 2009, pp. 41-47.
2. N. Cristianini and J. Shawe-Taylor, An Introduction to Support Vector Machines and Other Kernel-based Learning Methods, Cambridge University Press, Cambridge, UK, 2000.
3. F. Bovolo and L. Bruzzone, "A context-sensitive technique based on support vector machines for image classification," in Patter Recognition and Machine Intelligence, 2005, pp. 260-265.
4. S. Li, B. Zhang, D. Chen, L. Gao, and M. Peng, "Adaptive support vector machine and markov random field model for classifying hyperspectral imagery," Journal of Applied Remote Sensing, vol. 5, no. 1, pp. 053538-053538, 2011.
5. F. Bovolo, L. Bruzzone, and M. Marconcini, "A novel context-sensitive svm for classification of remote sensing images," in IEEE International Geoscience and Remote Sensing Symposium, 2006, pp. 2498-2501.
6. P. Gurram and H. Kwon, "Contextual svm using hilbert space embedding for hyperspectral classification," IEEE Geoscience and Remote Sensing Letters, no. 99, pp. 1-5, 2013.
7. S. Theodoridis and K. Koutroumbas, Pattern Recognition, Third Edition, Academic Press, Inc., Orlando, FL, USA, 2008.
8. A. R.Webb, Statistical Pattern Recognition, 2nd Edition, John Wiley &Sons, 2002.
9. R. G. Congalton and K. Green, Assessing the accuracy of remotely sensed data: principles and practices, Lewis Publisher, New York, 1999.