Double Weighted Sparse Nonnegative Tensor Factorization for Hyperspectral Unmixing

References

• Bioucas-Dias, J. M., A. Plaza, N. Dobigeon, M. Perente, Q. Du, P. Gader, and J. Chanussot. 2012. “Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse-Regression-Based Approaches.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 5 (2): 354–379. doi:10.1109/JSTARS.2012.219469610.1109/JSTARS.2012.2194696.
   Web of Science ®Google Scholar
• Candes, E. J., M. B. Wakin, and S. P. Boyd. 2008. “Enhancing Sparsity by Reweighted L1 Minimization.” Journal of Fourier Analysis and Applications 14 (5): 877–905. doi:10.1007/s00041-008-9045-x10.1007/s00041-008-9045-x.
   Web of Science ®Google Scholar
• De Lathauwer, L., and D. Nion. 2008. “Decompositions of A Higher-Order Tensor in Block Terms-Part III: Alternating Least Squares Algorithms.” SIAM Journal on Matrix Analysis and Applications 30 (3): 1067–1083. doi:10.1137/07069073010.1137/070690730.
   Web of Science ®Google Scholar
• Du, B., M. Zhang, L. Zhang, R. Hu, and D. Tao. 2017. “PLTD: Patch-Based Low-Rank Tensor Decomposition for Hyperspectral Images.” IEEE Transactions on Multimedia 19 (1): 67–79. doi:10.1109/TMM.2016.260878010.1109/TMM.2016.2608780.
   Web of Science ®Google Scholar
• Feng, B., and J. Wang. 2019. “Constrained Nonnegative Tensor Factorization for Spectral Unmixing of Hyperspectral Images: A Case Study of Urban Impervious Surface Extraction.” IEEE Geoscience and Remote Sensing Letters 16 (4): 583–587. doi:10.1109/LGRS.2018.287773410.1109/LGRS.2018.2877734.
   Web of Science ®Google Scholar
• Guo, X., X. Huang, L. Zhang, and L. Zhang. 2013. “Hyperspectral Image Noise Reduction Based on Rank-1 Tensor Decomposition.” ISPRS Journal of Photogrammetry and Remote Sensing 83: 50–63. doi:10.1016/j.isprsjprs.2013.06.00110.1016/j.isprsjprs.2013.06.001.
   Web of Science ®Google Scholar
• He, W., H. Zhang, and L. Zhang. 2017. “Total Variation Regularized Reweighted Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing.” IEEE Transactions on Geoscience and Remote Sensing 55 (7): 3909–3921. doi:10.1109/TGRS.2017.268371910.1109/TGRS.2017.2683719.
   Web of Science ®Google Scholar
• Heinz, D. C., and C. I. Chang. 2001. “Fully Constrained Least Squares Linear Spectral Mixture Analysis Method for Material Quantification in Hyperspectral Imagery.” IEEE Transactions on Geoscience and Remote Sensing 39 (3): 529–545. doi:10.1109/36.91111110.1109/36.911111.
   Web of Science ®Google Scholar
• Iordache, M. D., J. M. Bioucas-Dias, and A. Plaza. 2012. “Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing.” IEEE Transactions on Geoscience and Remote Sensing 50 (11): 4484–4502. doi:10.1109/TGRS.2012.219159010.1109/TGRS.2012.2191590.
   Web of Science ®Google Scholar
• Kanopoulos, N., N. Vasanthavada, and R. L. Baker. 1988. “Design of an Image Edge Detection Filter Using the Sobel Operator.” IEEE Journal of Solid-state Circuits 23 (2): 358–367. doi:10.1109/4.99610.1109/4.996.
   Web of Science ®Google Scholar
• Lee, D. D., and H. S. Seung. 2001. “Algorithms for Non-negative Matrix Factorization.” Advances in Neural Information Processing Systems, 13, 556–562.
   Google Scholar
• Miao, L., and H. Qi. 2007. “Endmember Extraction from Highly Mixed Data Using Minimum Volume Constrained Nonnegative Matrix Factorization.” IEEE Transactions on Geoscience and Remote Sensing 45 (3): 765–777. doi:10.1109/TGRS.2006.88846610.1109/TGRS.2006.888466.
   Web of Science ®Google Scholar
• Nascimento, J. M. P., and J. M. Bioucas-Dias. 2005. “Vertex Component Analysis: A Fast Algorithm to Unmix Hyperspectral Data.” IEEE Transactions on Geoscience and Remote Sensing 43 (4): 898–910. doi:10.1109/TGRS.2005.84429310.1109/TGRS.2005.844293.
   Web of Science ®Google Scholar
• Qian, Y., F. Xiong, S. Zeng, J. Zhou, and Y. Tang. 2017. “Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery.” IEEE Transactions on Geoscience and Remote Sensing 55 (3): 1776–1792. doi:10.1109/TGRS.2016.263327910.1109/TGRS.2016.2633279.
   Web of Science ®Google Scholar
• Qian, Y., S. Jia, J. Zhou, and A. Robles-Kelly. 2011. “Hyperspectral Unmixing via L1/2 Sparsity-Constrained Nonnegative Matrix Factorization.” IEEE Transactions on Geoscience and Remote Sensing 49 (11): 4282–4297. doi:10.1109/TGRS.2011.214460510.1109/TGRS.2011.2144605.
   Web of Science ®Google Scholar
• Salehani, Y. E., and S. Gazor. 2017. “Smooth and Sparse Regularization for NMF Hyperspectral Unmixing.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10 (8): 3677–3692. doi:10.1109/JSTARS.2017.268413210.1109/JSTARS.2017.2684132.
   Web of Science ®Google Scholar
• Wang, M., B. Zhang, X. Pan, and S. Yang. 2018. “Group Low-Rank Nonnegative Matrix Factorization with Semantic Regularizer for Hyperspectral Unmixing.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11 (4): 1022–1029. doi:10.1109/JSTARS.2018.280577910.1109/JSTARS.2018.2805779.
   Web of Science ®Google Scholar
• Wang, R., H.-C. Li, A. Pizurica, J. Li, A. Plaza, and W. J. Emery. 2016. “Hyperspectral Unmixing Using Double Reweighted Sparse Regression and Total Variation.” IEEE Geoscience and Remote Sensing Letters 14 (7): 1146–1150. doi:10.1109/LGRS.2017.270054210.1109/LGRS.2017.2700542.
   Web of Science ®Google Scholar
• Wang, W., Y. Qian, and Y. Y. Tang. 2016. “Hypergraph-Regularized Sparse NMF for Hyperspectral Unmixing.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9 (2): 681–694. doi:10.1109/JSTARS.2015.250844810.1109/JSTARS.2015.2508448.
   Web of Science ®Google Scholar
• Xiong, F., Y. Qian, J. Zhou, and Y. Tang. 2019. “Hyperspectral Unmixing via Total Variation Regularized Nonnegative Tensor Factorization.” IEEE Transactions on Geoscience and Remote Sensing 57 (4): 2341–2357. doi:10.1109/TGRS.2018.287288810.1109/TGRS.2018.2872888.
   Web of Science ®Google Scholar
• Zhang, S., J. Li, H.-C. Li, C. Deng, and A. Plaza. 2018. “Spectral-Spatial Weighted Sparse Regression for Hyperspectral Image Unmixing.” IEEE Transactions on Geoscience and Remote Sensing 56 (6): 3265–3276. doi:10.1109/TGRS.2018.279720010.1109/TGRS.2018.2797200.
   Web of Science ®Google Scholar
• Zhang, Z., B. Fan, J. Duan, L. Wang, K. Ding, S. Xiang, and C. Pan. 2015. “Discriminant Tensor Spectral-Spatial Feature Extraction for Hyperspectral Image Classification.” IEEE Geoscience and Remote Sensing Letters 12 (5): 1028–1032. doi:10.1109/LGRS.2014.237518810.1109/LGRS.2014.2375188.
   Web of Science ®Google Scholar