Classification of Hyperspectral Remote Sensing Image Using Hierarchical Local-Receptive-Field-Based Extreme Learning Machine

IEEE Geoscience and Remote Sensing Letters

Volumn 13, Issue 3, 2016, Pages 434-438

  Lv, Qi ^a   Niu, Xin ^a   Dou, Yong ^a   Xu, Jiaqing ^a   Lei, Yuanwu ^a  

^a NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

Author keywords

Deep learning; extreme learningmachine (ELM); hyperspectral image(HSI) classification; local receptivefield(LRF)

Indexed keywords

DEEP LEARNING; HIERARCHICAL SYSTEMS; IMAGE CLASSIFICATION; KNOWLEDGE ACQUISITION; REMOTE SENSING; SPECTROSCOPY;

ABSTRACT REPRESENTATION; CLASSIFICATION ALGORITHM; CLASSIFICATION PERFORMANCE; EXTREME LEARNING MACHINE; EXTREME LEARNINGMACHINE (ELM); HIERARCHICAL ARCHITECTURES; HYPERSPECTRAL REMOTE SENSING IMAGE; LOCAL RECEPTIVEFIELD(LRF);

CLASSIFICATION (OF INFORMATION);

EID: 84969338344     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2016.2517178     Document Type: Article

References (19)

1. J. M. Bioucas-Dias et al., "Hyperspectral remote sensing data analysis and future challenges," IEEE Geosci. Remote Sens. Mag., vol. 1, no. 2, pp. 6-36, Jun. 2013.
2. G. B. Huang, Q. Y. Zhu, C. Siew, "Extreme learning machine: Theory and applications," Neurocomputing, vol. 70, no. 1-3, pp. 489-501, Dec. 2006.
3. H. Gao, G. B. Huang, S. Song, K. You, "Trends in extreme learning machines: A review," Neural Netw., vol. 61, pp. 32-48, Jan. 2015.
4. M. Pal, "Extreme-learning-machine-based land cover classification," Int. J. Remote Sens., vol. 30, no. 14, pp. 3835-3841, Jul. 2009.
5. Y. Bazi et al., "Differential evolution extreme learning machine for the classification of hyperspectral images," IEEE Geosci. Remote Sens. Lett., vol. 11, no. 6, pp. 1066-1070, Jun. 2014.
6. A. Samat, P. Du, S. Liu, J. Li, L. Cheng, "E2LMs: Ensemble extreme learning machines for hyperspectral image classification," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 7, no. 4, pp. 1060-1069, Apr. 2014.
7. C. Chen, W. Li, H. Su, K. Liu, "Spectral-spatial classification of hyperspectral image based on kernel extreme learning machine," Remote Sens., vol. 6, no. 6, pp. 5795-5814, Jun. 2014.
8. G. B. Huang, Z. Bai, L. L. Kasun, C. M. Vong, "Local receptive fields based extreme learning machine," IEEE Comput. Intell. Mag., vol. 10, no. 2, pp. 18-29, May 2015.
9. L. Zhang et al., "Ensemble manifold regularized sparse low-rank approximation for multiview feature embedding," Pattern Recognit., vol. 48, no. 10, pp. 3102-3112, Oct. 2015.
10. L. Zhang, L. Zhang, D. Tao, X. Huang, "On combining multiple features for hyperspectral remote sensing image classification," IEEE Trans. Geosci. Remote Sens., vol. 50, no. 3, pp. 879-893, Mar. 2012.
11. J. Schmidhuber, "Deep learning in neural networks: An overview," Neural Netw., vol. 61, pp. 85-117, Jan. 2015.
12. Y. LeCun, Y. Bengio, G. Hinton, "Deep learning," Nature, vol. 521, no. 7553, pp. 436-444, May 2015.
13. Y. Chen, Z. Lin, X. Zhao, G. Wang, Y. Gu, "Deep learning-based classification of hyperspectral data," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 7, no. 6, pp. 2094-2107, Jun. 2014.
14. Y. Chen, X. Zhao, X. Jia, "Spectral-spatial classification of hyperspectral data based on deep belief network," IEEE J. Sel. Topics Appl. Earth Observ. Remote Sens., vol. 8, no. 6, pp. 2381-2392, Jun. 2015.
15. J. Yue, W. Zhao, S. Mao, H. Liu, "Spectral-spatial classification of hyperspectral images using deep convolutional neural networks," Remote Sens. Lett., vol. 6, no. 6, pp. 468-477, Jun. 2015.
16. G. B. Huang, H. Zhou, X. Ding, R. Zhang, "Extreme learning machine for regression and multiclass classification," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 42, no. 2, pp. 513-529, Apr. 2012.
17. Y. Lecun, L. Bottou, Y. Bengio, P. Haffner, "Gradient-based learning applied to document recognition," Proc. IEEE, vol. 86, no. 11, pp. 2278-2324, Nov. 1998.
18. F. Melgani and L. Bruzzone, "Classification of hyperspectral remote sensing images with support vector machines," IEEE Trans. Geosci. Remote Sens., vol. 42, no. 8, pp. 1778-1790, Aug. 2004.
19. A. Soltani-Farani, H. R. Rabiee, S. A. Hosseini, "Spatial-aware dictionary learning for hyperspectral image classification," IEEE Trans. Geosci. Remote Sens., vol. 53, no. 1, pp. 527-541, Jan. 2015.