On combining multiple features for hyperspectral remote sensing image classification

IEEE Transactions on Geoscience and Remote Sensing

Volumn 50, Issue 3, 2012, Pages 879-893

  Zhang, Lefei ^a   Zhang, Liangpei ^a   Tao, Dacheng ^b   Huang, Xin ^a  

^a WUHAN UNIVERSITY   (China)

^b UNIVERSITY OF TECHNOLOGY SYDNEY   (Australia)

Author keywords

Classification; Dimensional reduction; Hyperspectral; Multiple features

Indexed keywords

HYPERSPECTRAL IMAGING; IMAGE CLASSIFICATION; REMOTE SENSING;

CLASSIFICATION PERFORMANCE; DIMENSIONAL REDUCTION; HYPERSPECTRAL; HYPERSPECTRAL REMOTE SENSING IMAGE; IMAGING SPECTROMETERS; LOW-DIMENSIONAL REPRESENTATION; MULTIPLE FEATURES; STATISTICAL PROPERTIES;

CLASSIFICATION (OF INFORMATION);

EID: 80052087210     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2011.2162339     Document Type: Article

References (49)

1. C.-I. Chang, Hyperspectral Data Exploitation: Theory and Applications. Chichester, U.K.: Wiley-Blackwell, 2007.
2. G. Licciardi, F. Pacifici, D. Tuia, S. Prasad, T. West, F. Giacco, C. Thiel, J. Inglada, E. Christophe, J. Chanussot, and P. Gamba, "Decision fusion for the classification of hyperspectral data: Outcome of the 2008 GRS-S data fusion contest," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 11, pp. 3857-3865, Nov. 2009.
3. B.-C. Kuo, C.-H. Li, and J.-M. Yang, "Kernel nonparametric weighted feature extraction for hyperspectral image classification," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 4, pp. 1139-1155, Apr. 2009.
4. H. Shen, L. Zhang, B. Huang, and P. Li, "A MAP approach for joint motion estimation, segmentation, and super resolution," IEEE Trans. Image Process., vol. 16, no. 2, pp. 479-490, Feb. 2007.
5. S. B. Serpico and L. Bruzzone, "A new search algorithm for feature selection in hyperspectral remote sensing images," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 7, pp. 1360-1367, Jul. 2001.
6. A. Plaza, P. Martinez, J. Plaza, and R. Perez, "Dimensionality reduction and classification of hyperspectral image data using sequences of extended morphological transformations," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 3, pp. 466-479, Mar. 2005.
7. X. Huang, L. Zhang, and P. Li, "An adaptive multiscale information fusion approach for feature extraction and classification of IKONOS multispectral imagery over urban areas," IEEE Geosci. Remote Sens. Lett., vol. 4, no. 4, pp. 654-658, Oct. 2007.
8. L. Zhang, Y. Zhong, B. Huang, J. Gong, and P. Li, "Dimensionality reduction based on clonal selection for hyperspectral imagery," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 12, pp. 4172-4186, Dec. 2007.
9. L. Zhang, B. Du, and Y. Zhong, "Hybrid detectors based on selective endmembers," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 6, pp. 2633- 2646, Jun. 2010.
10. L. O. Jimenez, J. L. Rivera-Medina, E. Rodriguez-Diaz, E. Arzuaga-Cruz, and M. Ramirez-Velez, "Integration of spatial and spectral information by means of unsupervised extraction and classification for homogenous objects applied to multispectral and hyperspectral data," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 4, pp. 844-851, Apr. 2005.
11. D. Stathakis and K. Perakis, "Feature evolution for classification of remotely sensed data," IEEE Geosci. Remote Sens. Lett., vol. 4, no. 3, pp. 354-358, Jul. 2007.
12. L. Bruzzone and C. Persello, "A novel approach to the selection of spatially invariant features for the classification of hyperspectral images with improved generalization capability," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 9, pp. 3180-3191, Sep. 2009.
13. L. O. Jimenez-Rodriguez, E. Arzuaga-Cruz, and M. Velez-Reyes, "Unsupervised linear feature-extraction methods and their effects in the classification of high-dimensional data," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 2, pp. 469-483, Feb. 2007.
14. S. Kumar, J. Ghosh, and M. M. Crawford, "Best-bases feature extraction algorithms for classification of hyperspectral data," IEEE Trans. Geosci. Remote Sens., vol. 39, no. 7, pp. 1368-1379, Jul. 2001.
15. G. Rellier, X. Descombes, F. Falzon, and J. Zerubia, "Texture feature analysis using a Gauss-Markov model in hyperspectral image classification," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 7, pp. 1543-1551, Jul. 2004.
16. M. H. C. Law and A. K. Jain, "Incremental nonlinear dimensionality reduction by manifold learning," IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 3, pp. 377-391, Mar. 2006.
17. J. Verbeek, "Learning nonlinear image manifolds by global alignment of local linear models," IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 8, pp. 1236-1250, Aug. 2006.
18. T. Zhang, D. Tao, X. Li, and J. Yang, "Patch alignment for dimensionality reduction," IEEE Trans. Knowl. Data Eng., vol. 21, no. 9, pp. 1299-1313, Sep. 2009.
19. S. Roweis and L. Saul, "Nonlinear dimensionality reduction by locally linear embedding," Science, vol. 290, no. 22, pp. 2323-2326, Dec. 2000.
20. Z. Zhang and H. Zha, "Principal manifolds and nonlinear dimension reduction via local tangent space alignment," SIAM J. Sci. Comput., vol. 26, no. 1, pp. 313-338, Jan. 2004.
21. L. Ma, M. M. Crawford, and J. Tian, "Generalised supervised local tangent space alignment for hyperspectral image classification," Electron. Lett., vol. 46, no. 7, pp. 497-498, Jul. 2010.
22. J. B. Tenenbaum, V. de Silva, and J. C. Langford, "A global geometric framework for nonlinear dimensionality reduction," Science, vol. 290, no. 22, pp. 2319-2323, Dec. 2000.
23. M. Belkin and P. Niyogi, "Laplacian eigenmaps and spectral techniques for embedding and clustering," in Proc. Adv. Neural Inf. Process. Syst., 2002, vol. 14, pp. 585-592.
24. L. Ma, M. M. Crawford, and J. Tian, "Local manifold learningbased k-nearest-neighbor for hyperspectral image classification," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 11, pp. 4099-4109, Nov. 2010.
25. P. M. Mather, Computer Processing of Remotely-Sensed Images. Chichester, U.K.: Wiley, 2004.
26. T. C. Bau, S. Sarkar, and G. Healey, "Hyperspectral region classification using a three-dimensional Gabor filterbank," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 9, pp. 3457-3464, Sep. 2010.
27. S. Sarkar and G. Healey, "Hyperspectral texture synthesis using histogram and power spectral density matching," IEEE Trans. Geosci. Remote Sens., vol. 48, no. 5, pp. 2261-2270, May 2010.
28. L. Jiang and R. M. Narayanan, "Integrated spectral and spatial information mining in remote sensing imagery," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 3, pp. 673-685, Mar. 2004.
29. B. S. Manjunath and W. Y. Ma, "Texture features for browsing and retrieval of image data," IEEE Trans. Pattern Anal. Mach. Intell., vol. 18, no. 8, pp. 837-842, Aug. 1996.
30. L. Zhang, L. Zhang, D. Tao, and X. Huang, "A multifeature tensor for remote-sensing target recognition," IEEE Geosci. Remote Sens. Lett., vol. 8, no. 2, pp. 374-378, Mar. 2011.
31. X. Huang, L. Zhang, and P. Li, "A multiscale feature fusion approach for classification of very high resolution satellite imagery based on wavelet transform," Int. J. Remote Sens., vol. 29, no. 20, pp. 5923-5941, Oct. 2008.
32. I. Jolliffe, Principal Component Analysis. New York: Springer-Verlag, 2002.
33. D. Tao, X. Li, X. Wu, and S. J. Maybank, "General tensor discriminant analysis and Gabor features for gait recognition," IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 10, pp. 1700-1715, Oct. 2007.
34. A. K. Shackelford and C. H. Davis, "A hierarchical fuzzy classification approach for high-resolution multispectral data over urban areas," IEEE Trans. Geosci. Remote Sens., vol. 41, no. 9, pp. 1920-1932, Sep. 2003.
35. S. Wenbo, J. M. Keller, T. L. Haithcoat, and C. H. Davis, "Automated geospatial conflation of vector road maps to high resolution imagery," IEEE Trans. Image Process., vol. 18, no. 2, pp. 388-400, Feb. 2009.
36. J. A. Benediktsson, J. A. Palmason, and J. R. Sveinsson, "Classification of hyperspectral data from urban areas based on extended morphological profiles," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 3, pp. 480-491, Mar. 2005.
37. 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. Geosci. Remote Sens., vol. 46, no. 11, pp. 3804-3814, Dec. 2008.
38. X. Huang and L. Zhang, "A multidirectional and multiscale morphological index for automatic building extraction from mutispectral GeoEye-1 imagery," Photogramm. Eng. Remote Sens., vol. 77, no. 7, pp. 721-732, Jul. 2011.
39. L. Zhang, X. Huang, B. Huang, and P. Li, "A pixel shape index coupled with spectral information for classification of high spatial resolution remotely sensed imagery," IEEE Trans. Geosci. Remote Sens., vol. 44, no. 10, pp. 2950-2961, Oct. 2006.
40. T. Zhou, D. Tao, and X. Wu, "Manifold elastic net: A unified framework for sparse dimension reduction," Data Min. Knowl. Disc., vol. 22, no. 3, pp. 340-371, Jul. 2010.
41. W. Bian and D. Tao, "Max-min distance analysis by using sequential SDP relaxation for dimension reduction," IEEE Trans. Pattern Anal. Mach. Intell., vol. 33, no. 5, pp. 1037-1050, May 2011.
42. T. Xia, D. Tao, T. Mei, and Y. Zhang, "Multiview spectral embedding," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 60, no. 6, pp. 1438- 1446, Dec. 2010.
43. B. Xie, Y. Mu, D. Tao, and K. Huang, "m-SNE: Multiview stochastic neighbor embedding," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 41, no. 4, pp. 1088-1096, Aug. 2011.
44. R. Bhatia, Matrix Analysis. New York: Springer-Verlag, 1997.
45. X. Huang and L. Zhang, "An adaptive mean-shift analysis approach for object extraction and classification from urban hyperspectral imagery," IEEE Trans. Geosci. Remote Sens., vol. 46, no. 12, pp. 4173-4185, Dec. 2008.
46. U. Amato, R.M. Cavalli, A. Palombo, S. Pignatti, and F. Santini, "Experimental approach to the selection of the components in the minimum noise fraction," IEEE Trans. Geosci. Remote Sens., vol. 47, no. 1, pp. 153-160, Jan. 2009.
47. C. Burges, "A tutorial on support vectormachines for pattern recognition," Data Min. Knowl. Disc., vol. 2, no. 2, pp. 121-167, Feb. 1998.
48. B. Waske and J. A. Benediktsson, "Fusion of support vector machines for classification of multisensor data," IEEE Trans. Geosci. Remote Sens., vol. 45, no. 12, pp. 3858-3866, Dec. 2007.
49. B. Xie, M. Wang, and D. Tao, "Toward the optimization of normalized graph Laplacian," IEEE Trans. Neural Netw., vol. 22, no. 4, pp. 660-666, Apr. 2011.