Hyperspectral images classification with convolutional neural network and textural feature using limited training samples

References

• Chen, Y., H. Jiang, C. Li, X. Jia, and P. Ghamisi. 2016. “Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks.” IEEE Transactions on Geoscience and Remote Sensing 54 (10): 6232-6251. doi:10.1109/TGRS.2016.2584107.
   Web of Science ®Google Scholar
• Gao, L., J. Li, M. Khodadadzadeh, A. Plaza, B. Zhang, Z. He, and H. Yan. 2015. “Subspace-Based Support Vector Machines for Hyperspectral Image Classification.” IEEE Geoscience and Remote Sensing Letters 12 (2): 349–353. doi:10.1109/LGRS.2014.2341044.
   Web of Science ®Google Scholar
• Ghamisi, P., J. Benediktsson, G. Cavallaro, and A. Plaza. 2014. “Automatic Framework for Spectral-Spatial Classification Based on Supervised Feature Extraction and Morphological Attribute Profiles.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7 (6): 2147–2160. doi:10.1109/JSTARS.2014.2298876.
   Web of Science ®Google Scholar
• Hang, R., Q. Liu, C. Li, H. Song, and Y. Sun. 2015. “Matrix-Based Discriminant Subspace Ensemble for Hyperspectral Image Spatial-Spectral Feature Fusion.” IEEE Transactions on Geoscience and Remote Sensing 54 (2): 783–794. doi:10.1109/TGRS.2015.2465899.
   Web of Science ®Google Scholar
• Hu, W., Y. Huang, L. Wei, F. Zhang, and H. Li. 2015. “Deep Convolutional Neural Networks for Hyperspectral Image Classification.” Journal of Sensors. doi:10.1155/2015/258619.
   Web of Science ®Google Scholar
• Hughes, G. 1968. “On the Mean Accuracy of Statistical Patternrecognizer.” IEEE Transaction on Information Theory 14 (1): 55–63. doi:10.1109/TIT.1968.1054102.
   Web of Science ®Google Scholar
• Imani, M., and H. Ghassemian. 2016. “GLCM, Gabor, and Morphology Profiles Fusion for Hyperspectral Image Classification.” Paper presented at the 24st Iranian Conference on Electrical Engineering (ICEE), Shiraz, May 10-12, 460–465. doi:10.1109/IranianCEE.2016.7585566
   Google Scholar
• Kittler, J. 1978. “Feature Set Search Algorithm.” Pattern Recognition and Signal Processing, 41–60. doi:10.1007/978-94-009-9941-1_3.
   Google Scholar
• Kumar, B., and O. Dikshit. 2015. “Spectral-Spatial Classification of Hyperspectral Imagery Based on Moment Invariants.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8 (6): 2457–2463. doi:10.1109/JSTARS.2015.2446611.
   Web of Science ®Google Scholar
• Li, J., B. Xi, Y. Li, Q. Du, and K. Wang. 2018. “Hyperspectral Classification Based on Texture Feature Enhancement and Deep Belief Networks.” Remote Sensing 10 (3): 396–416. doi:10.3390/rs10030396.
   Web of Science ®Google Scholar
• Liu, Q., F. Zhou, R. Hang, and X. Yuan. 2017. “Bidirectional-Convolutional LSTM Based Spectral-Spatial Feature Learning for Hyperspectral Image Classification.” Remote Sensing 9: 1330–1348. doi:10.3390/rs9121330.
   Web of Science ®Google Scholar
• Man, Q., P. Dong, and H. Guo. 2015. “Pixel- and Feature-Level Fusion of Hyperspectral and Lidar Data for Urban Land-Use Classification.” International Journal of Remote Sensing 36 (6): 1618–1644. doi:10.1080/01431161.2015.1015657.
   Web of Science ®Google Scholar
• Mirzapour, F., and H. Ghassemian. 2015. “Improving Hyperspectral Image Classification by Combining Spectral, Texture, and Shape Features.” International Journal of Remote Sensing 36 (4): 1070–1096. doi:10.1080/01431161.2015.1007251.
   Web of Science ®Google Scholar
• Shen, L., and S. Jia. 2011. “Three-Dimensional Gabor Wavelets for Pixel-Based Hyperspectral Imagery Classification.” IEEE Transactions Geoscience and Remote Sensing 49 (12): 5039–5046. doi:10.1109/TGRS.2011.2157166.
   Web of Science ®Google Scholar
• Tang, Y., Y. Lu, and H. Yuan. 2015. “Hyperspectral Image Classification Based on Three-Dimensional Scattering Wavelet Transform.” IEEE Transactions on Geoscience and Remote Sensing 53 (5): 2467–2480. doi:10.1109/TGRS.2014.2360672.
   Web of Science ®Google Scholar
• Villa, A., J. Benediktsson, J. Chanussot, and C. Jutten. 2011. “Hyperspectral Image Classification with Independent Component Discriminant Analysis.” IEEE Transactions on Geoscience Remote Sensing 49 (12): 4865–4876. doi:10.1109/TGRS.2011.2153861.
   Web of Science ®Google Scholar
• Xue, Z., P. Du, J. Li, and H. Su. 2015a. “Simultaneous Sparse Graph Embedding for Hyperspectral Image Classification.” IEEE Transactions on Geoscience and Remote Sensing 53 (11): 6114–6133. doi:10.1109/TGRS.2015.2432059.
   Web of Science ®Google Scholar
• Yang, J., Y. Zhao, and J. Chan. 2017. “Learning and Transferring Deep Joint Spectral-Spatial Features for Hyperspectral Classification.” IEEE Transactions on Geoscience and Remote Sensing 55 (8): 4729–4742. doi:10.1109/TGRS.2017.2698503.
   Web of Science ®Google Scholar
• Yang, L., S. Yang, P. Jin, and R. Zhang. 2014. “Semi-Supervised Hyperspectral Image Classification Using Spatio-Spectral Laplacian Support Vector Machine.” IEEE Transactions on Geoscience and Remote Sensing Letters 11 (3): 651–655. doi:10.1109/LGRS.2013.2273792.
   Web of Science ®Google Scholar
• Yang, M., K. Huang, Y. Yang, L. Lu, Z. Feng, and H. Tsai. 2016. “Hyperspectral Image Classification Using Fast and Adaptive Bidimensional Empirical Mode Decomposition with Minimum Noise Fraction.” IEEE Geoscience and Remote Sensing Letters 13 (12): 1950–1954. doi:10.1109/LGRS.2016.2618930.
   Web of Science ®Google Scholar
• Yue, J., S. Mao, and M. Li. 2016. “A Deep Learning Framework for Hyperspectral Image Classification Using Spatial Pyramid Pooling.” Remote Sensing Letters 7 (9): 875–884. doi:10.1080/2150704X.2016.1193793.
   Web of Science ®Google Scholar
• Zhang, B., S. Li, X. Jia, L. Gao, and M. Peng. 2011. “Adaptive Markov Random Field Approach for Classification of Hyperspectral Imagery.” IEEE Geoscience and Remote Sensing Letters 8 (5): 973–977. doi:10.1109/LGRS.2011.2145353.
   Web of Science ®Google Scholar
• Zhou, F., R. Hang, Q. Liu, and X. Yuan. 2017. “Hyperspectral Image Classification Using Spectral-Spatial LSTMs.” CCCV 2017, Part I, CCIS 771, 577–588. doi:10.1007/978-981-10-7299-4_48.
   Google Scholar
• Zubko, V., Y. J. Kaufman, R. I. Burg, and J. V. Martins. 2007. “Principal Component Analysis of Remote Sensing of Aerosols over Oceans.” IEEE Transactions Geoscience Remote Sensing 45 (3): 730–745. doi:10.1109/TGRS.2006.888138.
   Web of Science ®Google Scholar