基于Matlab的遥感数据分析的相关文献
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1. H. Xiaoxu, L. Zhiqiang, and L. Jun, "Remote sensing image fusion using nonsubsampled contourlet transform based on multiscale feature similarity measure," IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 1, pp. 278-293, Jan. 2013.
2. M. Z. N. Hasan, M. A. Rahman, and M. M. Rahman, "Multispectral image fusion using the 2D dual-tree complex wavelet transform," IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 1, pp. 91-95, Jan. 2014.
3. X. Zhang, Y. Chen, and L. Zhang, "Spectral-spatial classification of hyperspectral imagery using extended morphological profiles," IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 7, pp. 3655-3665, Jul. 2015.
4. S. Li, Y. Liu, and G. Huang, "An adaptive thresholding algorithm for remote sensing image segmentation," IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 10, pp. 5876-5888, Oct. 2016.
5. J. Yang, J. Sun, H. Li, and Y. Li, "Spectral-spatial hyperspectral image classification based on deep convolutional neural networks," IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 1, pp. 248-261, Jan. 2017.
6. Y. Zhang, J. Li, and Y. Liu, "A novel approach to hyperspectral image classification based on joint low-rank and sparse representation," IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 2, pp. 1196-1210, Feb. 2017.
7. Z. Li, X. Wang, and D. Tuia, "Deep learning for remote sensing data: A technical tutorial on the state of the art," IEEE Geoscience and Remote Sensing Magazine, vol. 5, no. 4, pp. 8-36, Dec. 2017.
8. X. Liu, S. Zhang, and J. Li, "A novel deep learning-based framework for large-scale land cover mapping from satellite imagery," IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 1, pp. 504-518, Jan. 2018.
9. J. Zhang, J. Li, and Y. Liu, "A discriminative deep model for classification of hyperspectral imagery," IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 3, pp. 1346-1359, Mar. 2018.
10. X. Li, J. Li, and Y. Liu, "Unsupervised domain adaptation for hyperspectral image classification based on deep convolutional neural networks," IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 5, pp. 2638-2650, May 2018.
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