Spectral-spatial classification based on integrated segmentation

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2013, Pages 1458-1461

  Ghamisi, Pedram ^a   Couceiro, Micael S ^b   Fauvel, Mathieu ^c   Benediktsson, Jon Atli ^a  

^a UNIVERSITY OF ICELAND   (Iceland)

^b POLYTECHNIC INSTITUTE OF COIMBRA   (Portugal)

^c UNIVERSITÉ DE TOULOUSE   (France)

Author keywords

Hyperspectral Image Analysis; Mean Shift Segmentation; Multilevel Segmentation; Remote Sensing; Support Vector Machine classifier; Swarm Optimization

Indexed keywords

EID: 84894246276     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2013.6723060     Document Type: Conference Paper

References (14)

1. S. Tadjudin and D. Landgrebe, "Classification of high dimensional data with limited training samples," in Tech. Rep., School of Electrical and Computer Engineering, Purdue University, 1998.
2. V. N. Vapnic, Statistical Learning Theory. Hoboken, NJ: Wiley, 1998.
3. G. Camps-Valls and L. Bruzzone, Kernel Methods for Remote Sensing Data Analysis. Hoboken, NJ: Wiley, 2009.
4. P. Mantero, G. Moser, and S. B. Serpico, "Partially supervised classification of remote sensing images using SVM-based probability density estimation," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 3, pp. 559-570, 2005.
5. G. Moser and S. B. Serpico, "Combining support vector machines and Markov random fields in an integrated framework for contextual image classification," IEEE Trans. Geosci. Remote Sens., vol. PP, no. 99, pp. 1-19, 2012
6. M. Fauvel, Y. Tarabalka, J. A. Benediktsson, J. Chanussot and J. C. Tilton, "Advances in Spectral-Spatial Classification of Hyperspectral Images," Proceedings of the IEEE, vol. 101, no. 3, pp. 652-675, March 2013
7. P. Ghamisi, M. S. Couceiro, N. M. F. Ferreira and L. Kumar, "Use of Darwinian Particle Swarm Optimization technique for the segmentation of Remote Sensing images," Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International vol., no., pp.4295,4298, 22-27 July 2012 doi: 10.1109/IGARSS.2012.6351718.
8. P. Ghamisi, M. S. Couceiro, and J. A. Benediktsson, "Extending the fractional order Darwinian particle swarm optimization to segmentation of hyperspectral images". Proc. SPIE 8537, Image and Signal Processing for Remote Sensing XVIII, 85370F, September 2012, doi: 10.1117/12.978776.
9. N. Otsu, "A Threshold Selection Method from Gray-Level Histograms," IEEE Trans. on Systems, Man, Cybernetics, SMC-9, 62-66, 1979.
10. P. Ghamisi, M. S. Couceiro, J. A. Benediktsson and N. M. F. Ferreira "An Efficient Method for Segmentation of Images Based on Fractional Calculus and Natural Selection," Expert Systems with Applications, vol. 39, pp. 12407-12417, 2012. DOI: 10.1016/j.eswa.2012.04.078
11. http://www.mathworks.com/matlabcentral/fileexchange/29517-segmentation
12. D. Comaniciu and P. Meer, "Mean Shift: A Robust Approach Toward Feature Space Analysis," IEEE Trans. Pattern analysis and machine intelligence, vol. 24, no. 5, pp. 603-619, 2002.
13. P. Ghamisi, M. S. Couceiro, M. Fauvel, and J. A. Benediktsson, "Integration of Segmentation Techniques for Classification of Hyperspectral Images," IEEE Geos. Remote Sensing Letter, 10.1109/LGRS.2013.2257675, in press.
14. P. Ghamisi, M.S. Couceiro, F.M.L. Martins and J.A. Benediktsson, Multilevel Image Segmentation based on Fractional-Order Darwinian Particle Swarm Optimization, IEEE Trans. Geosci. Remote Sens., doi: 10.1109/TGRS.2013.2260552, in press