Local label probability propagation for hyperspectral image classification

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2014, Pages 4251-4256

  Li, Haichang ^a   Duan, Jiangyong ^a   Xiang, Shiming ^a   Wang, Lingfeng ^a   Pan, Chunhong ^a  

^a INSTITUTE OF AUTOMATION   (China)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION DISSEMINATION; LAPLACE TRANSFORMS; PIXELS; REMOTE SENSING; SPECTRAL RESOLUTION; SPECTROSCOPY;

CLASSIFICATION RESULTS; HIGH SPECTRAL RESOLUTION; HYPER-SPECTRAL IMAGES; INFORMATION PROPAGATION; PROBABILITY PROPAGATION; REMOTE SENSING IMAGE PROCESSING; SPATIAL INFORMATIONS; SPATIAL SIMILARITY;

IMAGE CLASSIFICATION;

EID: 84919922725     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2014.729     Document Type: Conference Paper

References (19)

1. X. Jia, "Simplified maximum likelihood classification for hyperspectral data in cluster space," in IGARSS, June 2002, pp. 24-28.
2. J.-M. Yang, P.-T. Yu, and B.-C. Kuo, "A nonparametric feature extraction and its application to nearest neighbor classification for hyperspectral image data," IEEE Trans. Geoscience and Remote Sensing, vol. 48, no. 3-1, pp. 1279-1293, 2010.
3. G. Camps-Valls and L. Bruzzone, "Kernel-based methods for hyperspectral image classification," IEEE Trans. Geoscience and Remote Sensing, vol. 43, no. 6, pp. 1351-1362, 2005.
4. J. A. Benediktsson, J. A. Palmason, and J. R. Sveinsson, "Classification of hyperspectral data from urban areas based on extended morphological profiles," IEEE Trans. Geoscience and Remote Sensing, vol. 43, no. 3, pp. 480-491, 2005.
5. M. Fauvel, J. A. Benediktsson, J. Chanussot, and J. R. Sveinsson, "Spectral and spatial classification of hyperspectral data using svms and morphological profiles," IEEE Trans. Geoscience and Remote Sensing, vol. 46, no. 11, pp. 3804-3814, 2008.
6. Y. Tarabalka, J. A. Benediktsson, and J. Chanussot, "Spectral-spatial classification of hyperspectral image based on partitional clustering techniques," IEEE Journal of Selected Topics in Signal Processing, vol. 47, no. 8, pp. 2973-2987, Aug. 2009.
7. Y. Tarabalka, J. Chanussot, and J. A. Benediktsson, "Segmentation and classification of hyperspectral images using minimum spanning forest grown from automatically selected markers," IEEE Trans. Systems, Man, and Cybernetics, Part B, vol. 40, no. 5, pp. 1267-1279, 2010.
8. Y. Tarabalka, J. A. Benediktsson, J. Chanussot, and J. C. Tilton, "Multiple spectral-spatial classification approach for hyperspectral data," IEEE Trans. Geoscience and Remote Sensing, vol. 48, no. 11, pp. 4122-4132, 2010.
9. K. Bernard, Y. Tarabalka, J. Angulo, J. Chanussot, and J. A. Benediktsson, "Spectral-spatial classification of hyperspectral data based on a stochastic minimum spanning forest approach," IEEE Trans. Image Processing, vol. 21, no. 4, pp. 2008-2021, 2012.
10. B. Zhang, S. Li, X. Jia, L. Gao, and M. Peng, "Adaptive markov random field approach for classification of hyperspectral imagery," IEEE Geosci. Remote Sensing Lett., vol. 8, no. 5, pp. 973-977, 2011.
11. X. Jia and J. A. Richards, "Managing the spectral-spatial mix in context classification using markov random fields," IEEE Geosci. Remote Sensing Lett., vol. 5, no. 2, pp. 311-314, 2008.
12. G. Camps-Valls, T. V. B. Marsheva, and D. Zhou, "Semi-supervised graph-based hyperspectral image classification," IEEE Trans. Geoscience and Remote Sensing, vol. 45, no. 10, pp. 3044-3054, 2007.
13. J. Bai, S. Xiang, and C. Pan, "A graph-based classification method for hyperspectral images," IEEE Trans. Geoscience and Remote Sensing, vol. 51, no. 2, pp. 803-817, 2013.
14. T.-F. Wu, C.-J. Lin, and R. C. Weng, "Probability estimates for multiclass classification by pairwise coupling," Journal of Machine Learning Research, vol. 5, pp. 975-1005, 2004.
15. C. Chih-Chung and L. Chih-Jen, "LIBSVM: A library for support vector machines," ACM Transactions on Intelligent Systems and Technology, vol. 2, pp. 1-27, 2011.
16. D. Cai, X. He, J. Han, and T. S. Huang, "Graph regularized nonnegative matrix factorization for data representation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no. 8, pp. 1548-1560, 2011.
17. F. Chung, Spectral Graph Theory. AMS, 1997.
18. U. von Luxburg, "A tutorial on spectral clustering," Statistics and Computing, vol. 17, no. 4, pp. 395-416, 2007.
19. J. A. Richards and X. Jia, Remote Sensing Digital Image Analysis. Springer, 2006.