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Research Article

Effective subspace detection based on the measurement of both the spectral and spatial information for hyperspectral image classification

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Pages 7541-7564 | Received 01 Jun 2019, Accepted 23 Mar 2020, Published online: 16 Jul 2020

References

  • Baumgartner, M. F., L. Labial, and D. A. Landgrebe. 2015. “220 Band AVIRIS Hyperspectral Image Data Set: June 12, 1992 Indian Pine Test Site 3.” Purdue University Research Repository.
  • Bruzzone, F. R. L., and S. B. Serpico. 1995. “An Extension of the Jeffreys Matusita Distance to Multiclass Cases for Feature Selection.” IEEE Transaction on Geoscience and Remote Sensing 33 (6): 1318–13121. doi:10.1109/36.477187.
  • Chang, C., D. Qian, T. L. Sun, and M. Althouse. 1999. “A Joint Band Prioritization and Band-Decorrelation Approach to Band Selection for Hyperspectral Image Classification.” IEEE Transactions on Geoscience and Remote Sensing 37 (6): 2631–2641. doi:10.1109/36.803411.
  • Conese, C., and F. Maselli. 1993. “Selection of Optimum Bands from TM Scenes through Mutual Information Analysis.” ISPRS Journal of Photogrammetry and Remote Sensing 48 (3): 2–11. doi:10.1016/0924-2716(93)90059-V.
  • Deepa, P., and K. Thilagavathi. 2015. “Feature Extraction of Hyperspectral Image Using Principal Component Analysis and Folded-principal Component Analysis.” Paper presented at the 2nd International Conference on Electronics and Communication Systems, Coimbatore, India.
  • Deolindo, C. S., A. C. B. Kunicki, F. L. Brasil, and R. C. Moioli. 2014. “Limitations of Principal Component Analysis as a Method to Detect Neuronal Assemblies.” Paper presented at the IEEE 16th International Conference on e-health Networking, Applications and Services, Natal, Brazil.
  • Fukunaga, K. 1990. Introduction to Statistical Pattern Recognition. New York, NY: Academic.
  • Guorong, X., C. Peiqi, and W. Minhui. 1996. “Bhattacharyya Distance Feature Selection.” Paper Presented at the 13th International Conference on Pattern Recognition, Vienna, Austria.
  • Haque, M. R., and S. Z. Mishu. 2019. “Spectral-Spatial Feature Extraction Using PCA and Multi-Scale Deep Convolutional Neural Network for Hyperspectral Image Classification.” Paper Presented at the IEEE 22nd International Conference on Computer and Information Technology (ICCIT), Dhaka, Bangladesh.
  • Harsanyi, J. C., and C. I. Chang. 1994. “Hyperspectral Image Classification and Dimensionality Reduction: An Orthogonal Subspace Projection Approach.” IEEE Transactions on Geoscience and Remote Sensing 32 (4): 779–785. doi:10.1109/36.298007.
  • Hasan, M., M. Pickering, and X. Jia. 2012. “Robust Automatic Registration of Multimodal Satellite Images Using CCRE with Partial Volume Interpolation.” IEEE Transactions on Geoscience and Remote Sensing 50 (10): 4050–4061. doi:10.1109/TGRS.2012.2187456.
  • Hasan, M., M. Pickering, A. Robles-Kelly, J. Zhou, and X. Jia. 2010. “Registration of Hyperspectral and Trichromatic Images via Cross Cumulative Residual Entropy Maximisation.” Presented at the IEEE International Conference on Image Processing, Hong Kong, China.
  • Hossain, M. A., H. E-Jannat, B. Ahmed, and M. A. Mamun. 2017a. “Feature Mining for Effective Subspace Detection and Classification of Hyperspectral Images.” Paper Presented at the 2017 IEEE International Conference on Electrical, Computer and Communication Engineering, Cox's Bazar, Bangladesh.
  • Hossain, M. A., B. Ahmed, S. S. Ghosh, and M. N. I. Mondal. 2017b. “Effective Subspace Detection Based on Cross Cumulative Residual Entropy for Hyperspectral Image Classification.” Paper Presented at the IEEE International Conference on Electrical, Computer and Communication Engineering (ECCE), Cox's Bazar, Bangladesh.
  • Hossain, M. A., X. Jia, and J. A. Benediktsson. 2016. “One-Class Oriented Feature Selection and Classification of Heterogeneous Remote Sensing Images.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9 (4): 1606–1612. doi:10.1109/JSTARS.2015.2506268.
  • Hossain, M. A., X. Jia, and M. Pickering. 2014. “Subspace Detection Using a Mutual Information Measure for Hyperspectral Image Classification.” IEEE Geoscience and Remote Sensing Letters 11 (2): 424–428. doi:10.1109/LGRS.2013.2264471.
  • Hossain, M. A., M. Pickering, and X. Jia. 2011. “Unsupervised Feature Extraction Based on a Mutual Information Measure for Hyperspectral Image Classification.” Paper Presented at the 2011 IEEE Geoscience and Remote Sensing Symposium, Vancouver, BC, Canada.
  • Hossain, M. A., M. Pickering, and X. Jia. 2012. “Improved Feature Extraction Based on a Mutual Information Measure for Hyperspectral Image Classification.” Paper Presented at the 2012 IEEE Geoscience and Remote Sensing Symposium, Munich, Germany.
  • Hughes, G. 1968. “On the Mean Accuracy of Statistical Pattern Recognizers.” IEEE Transactions on Information Theory IT-14 (1): 55–63. doi:10.1109/TIT.1968.1054102.
  • Jia, X., B. Kua, and M. M. Crawford. 2013. “Feature Mining for Hyperspectral Image Classification.” Proceeding of the IEEE 101 (3): 676–679. doi:10.1109/JPROC.2012.2229082.
  • Jia, X., and J. A. Richards. 1999. “Segmented Principal Components Transformation for Efficient Hyperspectral Remote-Sensing Image Display and Classification.” IEEE Transactions on Geoscience and Remote Sensing 37 (1): 538–542. doi:10.1109/36.739109.
  • Kang, X., S. Li, L. Fang, and J. A. Benediktsson. 2015. “Intrinsic Image Decomposition for Feature Extraction of Hyperspectral Images.” IEEE Transactions on Geoscience and Remote Sensing 53 (4): 2241–2253. doi:10.1109/TGRS.2014.2358615.
  • Landgrebe, D. A. 1999. Information Extraction Principles and Methods for Multispectral and Hyperspectral Image Data. Ed. C. H. Chen. Singapore: World Scientific.
  • Landgrebe, D. A. [Online]. https://engineering.purdue.edu/~biehl/MultiSpec/hyperspectral.html
  • Li, M., S. Zang, B. Zhang, S. Li, and C. Wu. 2014. “A Review of Remote Sensing Image Classification Techniques: The Role of Spatio-contextual Information.” European Journal of Remote Sensing 47 (1): 389–411. doi:10.5721/EuJRS20144723.
  • Li, W., and Q. Du. 2014. “Gabor-Filtering-Based Nearest Regularized Subspace for Hyperspectral Image Classification.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7 (4): 1012–1022. doi:10.1109/JSTARS.2013.2295313.
  • Lu, D., and Q. Weng. 2007. “A Survey of Image Classification Methods and Techniques for Improving Classification Performance.” International Journal of Remote Sensing 28 (5): 823–870. doi:10.1080/01431160600746456.
  • Mishu, S. Z., M. A. Hossain, and B. Ahmed. 2018. “Hybrid Sub-space Detection Technique for Effective Hyperspectral Image Classification.” Paper Presented at the IEEE 4th International Conference on Computer, Communication, Chemical, Material and Electronic Engineering, Bangladesh
  • Mohan, B. K., and A. Porwal. 2015. “Hyperspectral Image Processing and Analysis.” Current Science 108 (5): 833–841.
  • Richards, J. A., and X. Jia. 2006. Remote Sensing Digital Image Analysis. Germany: Springer-Verlag.
  • Rodarmel, C., and J. Shan. 2002. “Principal Component Analysis for Hyperspectral Image Classification.” ACM Surveying and Land Information Systems 62 (2): 115–122.
  • Teke, M., H. S. Deveci, O. Haliloğlu, S. Z. Gürbüz, and U. Sakarya. 2013. “A Short Survey of Hyperspectral Remote Sensing Applications in Agriculture.” Paper Presented at the 6th International Conference on Recent Advances in Space Technologies, Istanbul, Turkey.
  • Tsai, F., E. K. Lin, and K. Yoshino. 2007. “Spectrally Segmented Principal Component Analysis of Hyperspectral Imagery for Mapping Invasive Plant Species.” International Journal of Remote Sensing 28 (5): 1023–1039. doi:10.1080/01431160600887706.
  • Uddin, M. P., M. A. Mamun, and M. A. Hossain. 2017a. “Feature Extraction for Hyperspectral Image Classification.” Paper Presented at the IEEE 5th Region 10 Humanitarian Technology Conference (R10-HTC), Dhaka, Bangladesh.
  • Uddin, M. P., M. A. Mamun, and M. A. Hossain. 2017b. “Segmented FPCA for Hyperspectral Image Classification.” Paper Presented at the IEEE 3rd International Conference on Electrical Information and Communication Technology (EICT), Khulna, Bangladesh.
  • Uddin, M. P., M. A. Mamun, and M. A. Hossain. 2017c. “Improved Feature Extraction Using Segmented FPCA for Hyperspectral Image Classification.” Paper Presented at the International Conference on Electrical & Electronic Engineering, Rajshahi, Bangladesh.
  • Uddin, M. P., M. A. Mamun, and M. A. Hossain. 2019. “Effective Feature Extraction through Folded-PCA for Hyperspectral Image Classification.” International Journal of Remote Sensing 40 (18): 7190–7220. doi:10.1080/01431161.2019.1601284.
  • Uddin, M. P., M. A. Mamun, and M. A. Hossain. 2020. “PCA-based Feature Reduction for Efficient Hyperspectral Image Classification.” IETE Technical Review 1–21. doi:10.1080/02564602.2020.1740615.
  • Wang, F., and B. C. Vemuri. 2007. “Non-rigid Multi-modal Image Registration Using Cross-cumulative Residual Entropy.” International Journal of Computer Vision 74 (2): 201–215. doi:10.1007/s11263-006-0011-2.
  • Wen, J., Z. Tian, X. Liu, and W. Lin. 2013. “Neighbourhood Preserving Orthogonal PNMF Feature Extraction for Hyperspectral Image Classification.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 6 (2): 759–768. doi:10.1109/JSTARS.2012.2210276.
  • Xiong, W., C. I. Chang, C. C. Wu, K. Kalpakis, and H. M. Chen. 2011. “Fast Algorithms to Implement N-FINDR for Hyperspectral Endmember Extraction.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 4 (3): 545–564. doi:10.1109/JSTARS.2011.2119466.
  • Yang, H., Q. Du, and G. Chen. 2012. “Particle Swarm Optimization-Based Hyperspectral Dimensionality Reduction for Urban Land Cover Classification.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 5 (2): 544–554. doi:10.1109/JSTARS.2012.2185822.
  • Ying, L., G. Yanfeng, and Z. Ye. 2006. “Hyperspectral Feature Extraction Using Selective PCA Based on Genetic Algorithm with Subgroups.” Paper Presented at the 1st International Conference on Innovative, Computing, Information and Control 1: 652–656.
  • Zabalza, J., J. Ren, M. Yang, Y. Zhang, J. Wang, S. Marshall, and J. Han. 2014. “Novel Folded-PCA for Improved Feature Extraction and Data Reduction with Hyperspectral Imaging and SAR in Remote Sensing.” ELSEVIER ISPRS Journal of Photogrammetry and Remote Sensing 93: 112–122. doi:10.1016/j.isprsjprs.2014.04.006.
  • Zaouali, M., S. Bouzidi, and E. Zagrouba. 2018. “3-D Shearlet Transform Based Feature Extraction for Improved Joint Sparse Representation HSI Classification.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11 (4): 1306–1314. doi:10.1109/JSTARS.2018.2792532.
  • Zhu, J., L. Fang, and P. Ghamisi. 2018. “Deformable Convolutional Neural Networks for Hyperspectral Image Classification.” IEEE Geoscience and Remote Sensing Letters 15 (8): 1254–1258. doi:10.1109/LGRS.2018.2830403.

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