Pixel classification of large-size hyperspectral images by affinity propagation

Journal of Applied Remote Sensing

Volumn 8, Issue 1, 2014, Pages

  Chehdi, Kacem ^a   Soltani, Mariem ^a   Cariou, Claude ^a  

^a UNIVERSITÉ DE RENNES 1   (France)

Author keywords

affinity propagation; class number estimation; data reduction; hyperspectral image; large data size; unsupervised classification

Indexed keywords

DATA REDUCTION; DIGITAL STORAGE; HYPERSPECTRAL IMAGING; IMAGE CLASSIFICATION; MATRIX ALGEBRA; SPECTROSCOPY;

AFFINITY PROPAGATION; BISECTION METHOD; CLASS NUMBERS; CLASSIFICATION RESULTS; LARGE DATA; PIXEL CLASSIFICATION; SIMILARITY MATRIX; UNSUPERVISED CLASSIFICATION;

PIXELS;

EID: 84939534275     PISSN: None     EISSN: 19313195     Source Type: Journal    
DOI: 10.1117/1.JRS.8.083567     Document Type: Article

References (27)

1. J. B. MacQueen, "Some methods for classification and analysis of multivariate observations, " in Proc. Fifth Berkeley Symposium on Mathematical Statistics and Probability, pp. 281-297, University of California Press, Berkeley (1967).
2. J. C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms, Kluwer Academic Publishers, Norwell, Massachusetts (1981).
3. G. H. Ball and D. J. Hall, "Some fundamental concepts and synthesis procedures for pattern recognition preprocessors, " in Proc. Int. Conf. on Microwaves, Circuit Theory, and Information Theory, Tokyo, Japan, pp. 281-297 (1964).
4. J. F. Frey and D. Dueck, "Clustering by passing messages between data points, " Science 315(5814), 972-976 (2007).
5. F. Yao and Y. Qian, "Band selection based gaussian processes for hyperspectral remote sensing images classification, " in Proc. 16th IEEE Int. Conf. on Image Processing (ICIP), pp. 2845-2848 (2009).
6. Y. Qian, F. Yao, and S. Jia "Band selection for hyperspectral imagery using affinity propagation, " IET Comput. Vision 3(4), 213-222 (2009).
7. S. Jia et al., "Feature extraction and selection hybrid algorithm for hyperspectral imagery classification, " in Proc. IEEE Int. Geoscience and Remote Sensing Symposium (IGARSS), pp. 72-75 (2010).
8. S. Jia et al., "Unsupervised band selection for hyperspectral imagery classification without manual band removal, " IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 5(2), 531-534 (2012).
9. C. Yang et al., "A feature-metric-based affinity propagation technique for feature selection in hyperspectral image classification, " IEEE Geosci. Remote Sens. Lett. 10(5), 1152-1156 (2013).
10. C. Yang et al., "A fuzzy-statistics-based affinity propagation technique for clustering in multispectral images, " IEEE Trans. Geosci. Remote Sens. 48(6), 2647-2659 (2010).
11. C. Yang et al., "Incremental and decremental affinity propagation for semisupervised clustering in multispectral images, " IEEE Trans. Geosci. Remote Sens. 51(3), 1666-1679 (2013).
12. J. A. Cardille et al., "Representative landscapes in the forested area of Canada, " Environ. Manage. 49(1), 163-173 (2012).
13. S. Jia, Y. Qian, and Z. J. Jia, "Band selection for hyperspectral imagery using affinity propagation, " in Proc. IEEE Digital Image Computer: Techniques and Applications, pp. 137-141 (2008).
14. Y. Yimin et al., "A multimedia semantic retrieval mobile system based on HCFGs, " IEEE Multimedia 21(1), 36-46 (2014).
15. H. Xiao and P. Guo, "Iris image analysis based on affinity propagation algorithm, " Lect. Notes Comput. Sci. 5552, 943-949 (2009).
16. C.-D.Wang et al., "Multi-exemplar affinity propagation, " IEEE Trans. Pattern Anal. Mach. Intell. 35(9), 2223-2237 (2013).
17. Z. Liu et al., "Clustering to find exemplar terms for keyphrase extraction, " in Conf. Empirical Methods in Natural Language Processing (EMNLP), Vol. 1, pp. 257-266 (2009).
18. Z. J. Zha et al., "Visual query suggestion, " in Proc. Association for Computing Machinery (ACM) Int. Conf. on Multimedia (MM), pp. 15-24 (2009).
19. K. Lindoff-Larsen and J. Ferkinghoff-Borg, "Similarity measures for protein ensembles, " PLoS ONE 4(1), e4203 (2009).
20. Z. Zhu, S. Jia, and Z. Ji, "Towards a memetic feature selection paradigm, " IEEE Comp. Int. Mag. 5(2), 41-53 (2010).
21. R. Guan et al., "Text clustering with seeds affinity propagation, " IEEE Trans. Knowl. Data Eng. 23(4), 627-637 (2011).
22. C. Rosenberger and K. Chehdi, "Unsupervised segmentation of multi-spectral images, " in Proc. Int. Conf. on Advanced Concepts for Intelligent Vision Systems, Ghent, Belgium (2003).
23. P. Brodatz, Textures: A Photographic Album for Artists and Designers, Dover, New York (1966).
24. Y. Fujiwara, G. Irie, and T. Kitahara, "Fast algorithm for affinity propagation, " in Proc. of the Twenty-Second Int. Joint Conf. on Artificial Intelligence, Vol. 3, pp. 2228-2243 (2011).
25. L.Wang and L. Zhang, "Color image segmentation algorithm based on affinity propagation clustering, " in Foundations of Intelligent Systems, Advances in Intelligent and Soft Computing, Vol. 122, pp. 731-739, Springer-Verlag, Berlin, Heidelberg (2011).
26. M. D. Levine and A. M. Nazif, "Dynamic measurement of computer generated image segmentations, " IEEE Trans. PAMI PAMI-7(2), 155-164 (1985).
27. T. Kohonen, "The self-organisation maps, " Proc. IEEE 78(9), 502-512 (1990).