Dimensionality reduction using deep belief network in big data case study: Hyperspectral image classification

2016 International Workshop on Big Data and Information Security, IWBIS 2016

Volumn , Issue , 2017, Pages 71-76

  Arsa, Dewa Made Sri ^a   Jati, Grafika ^a   Mantau, Aprinaldi Jasa ^b   Wasito, Ito ^a  

^a UNIVERSITY OF INDONESIA   (Indonesia)

^b WASEDA UNIVERSITY   (Japan)

Author keywords

Big Data; Deep belief network (DBN); dimensionality reduction; restricted Boltzmann machine (RBM)

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA REDUCTION; IMAGE CLASSIFICATION; INDEPENDENT COMPONENT ANALYSIS; SECURITY OF DATA; SPECTROSCOPY;

DEEP BELIEF NETWORK (DBN); DEEP BELIEF NETWORKS; DIMENSIONALITY REDUCTION; DIMENSIONALITY REDUCTION METHOD; HIGH DIMENSIONALITY; HIGH-DIMENSIONAL IMAGES; RESTRICTED BOLTZMANN MACHINE; SPATIAL FEATURES;

BIG DATA;

EID: 85017035500     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IWBIS.2016.7872892     Document Type: Conference Paper

References (19)

1. G. Hughes, "On the mean accuracy of statistical pattern recognizers," IEEE Trans. Inf, Theory, vol. 14, no. 1, pp. 55-63, Jan. 1968.
2. G. Camps-Valls and L. Bruzzone, "Kernel-based methods for hyperspcetral image classification," IEEE Trans. Geosci. Remote Sens., vol. 43, no. 6, pp. 1351-1362, Jun. 2005.
3. I. Jolliffe, "Principal Component Analysis," 2nd ed, New York, NY, USA: Springer, 2002.
4. P. Ghamisi, J. A. Benediktsson, and J. R. Sveinsson, "Automatic Spectral Spatial Classification Framework Based on Attribute Profiles and Supervised Feature Extraction," vol. 52, no. 9, September. 2014
5. Y. Chen and X. Zhao, X. Jia, "Spectral Spatial Classification of Hyperspectral Data Based on Deep Belief Network," vol. 8, no.6. June. 2015
6. K. Fukunaga, "Introduction to Statistical Pattern Classification," San Diego, CA, USA: Academic, 1990.
7. H. R. Kalluri, S. Prasad, and L. M. Bruce, "Decision Level Fusion of Spectral Reflectance and Derivative Information for Robust Hyperspectral Land Cover Classification," vol. 4, no. 11, November. 2010.
8. H. Yuan, Y. Y. Tang, Y. Lu, L. Yang, and H. Luo, "Spectral Spatial Classifcation of Hyperspectral Image Based on Discriminant Analysis," vPakol. 7, no. 6, June. 2014.
9. M. Nielsen, "Neural Networks and Deep Learning," August. 2015.
10. G. E. Hinton and R. R. Salkhutdinov, " Reducing the Dimensionality of Data with Neural Networks," Science, vol. 313, 28 July. 2006.
11. G. E. Hinton, S. Osindero, and Y. W. Teh, "A fast learning algorith for deep belief nets," Neural Computation, 18(7):1527-1554.
12. R. Hecht-Nielsen, "Theory of the backpropagation neural network," Proc. Int. Joint Conf. IEEE Neural Netw., 1989, pp. 593-605.
13. G. E. Hinton, "Training products of experts by minimizing contrastive divergence," Neural Comput., vol. 14, no. 8, pp. 1711-1800, 2002.
14. Fan J, Han F, Liu H, "Challenges of big data analysis," Natl Sci Rev. 2014;1:293-314. doi: 10.1093/nsr/nwt032.
15. X. Zhang, Q. Song, Z. Gao, Y. Zheng, P. Weng and L. C. Jiao, "Spectral-Spatial Feature Learning Using Cluster-Based Group Sparse Coding for Hyperspectral Image Classification," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 9, pp. 4142-4159, Sept. 2016.
16. X. Zhou, S. Prasad and M. M. Crawford, "Wavelet-Domain Multiview Active Learning for Spatial-Spectral Hyperspectral Image Classification," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 9, pp. 4047-4059, Sept. 2016.
17. B. N. Soomro, L. Xiao, L. Huang, S. H. Soomro and M. Molaei, "Bilayer Elastic Net Regression Model for Supervised Spectral-Spatial Hyperspectral Image Classification," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 9, pp. 4102-4116, Sept. 2016.
18. X. Ma, H. Wang and J. Geng, "Spectral-Spatial Classification of Hyperspectral Image Based on Deep Auto-Encoder," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 9, pp. 4073-4085, Sept. 2016
19. Muhamad Isa, Sani, et al. "Performance Analysis of ECG Signal Compression using SPIHT." International Journal on Smart Sensing & Intelligent Systems 6.5 (2013