A discriminated similarity matrix construction based on sparse subspace clustering algorithm for hyperspectral imagery
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Yi Xia | Chun-Hou Zheng | Qing Yan | Yun Ding | Jing-Jing Zhang | C. Zheng | Qing Yan | Yi Xia | Jingjing Zhang | Yun Ding
[1] Xiaofeng Wang,et al. A Novel Density-Based Clustering Framework by Using Level Set Method , 2009, IEEE Transactions on Knowledge and Data Engineering.
[2] Ling Shao,et al. A rapid learning algorithm for vehicle classification , 2015, Inf. Sci..
[3] Alberto Villa,et al. Unsupervised clustering and spectral unmixing for feature extraction prior to supervised classification of hyperspectral images , 2011, Optical Engineering + Applications.
[4] Eyal Ben-Dor,et al. A new approach for spectral feature extraction and for unsupervised classification of hyperspectral data based on the Gaussian mixture model , 2001 .
[5] Yao Wang,et al. LED: A fast overlapping communities detection algorithm based on structural clustering , 2016, Neurocomputing.
[6] René Vidal,et al. Sparse subspace clustering , 2009, CVPR.
[7] Yuhui Zheng,et al. Image segmentation by generalized hierarchical fuzzy C-means algorithm , 2015, J. Intell. Fuzzy Syst..
[8] Tülay Yildirim,et al. Unsupervised classification of hyperspectral-image data using fuzzy approaches that spatially exploit membership relations , 2008, IEEE Geoscience and Remote Sensing Letters.
[9] De-Shuang Huang,et al. Pupylation sites prediction with ensemble classification model , 2017, Int. J. Data Min. Bioinform..
[10] De-Shuang Huang,et al. Locally linear discriminant embedding: An efficient method for face recognition , 2008, Pattern Recognit..
[11] Rongrong Ji,et al. Spectral–spatial co-clustering of hyperspectral image data based on bipartite graph , 2016, Multimedia Systems.
[12] Jun Huang,et al. Hyperspectral image denoising with superpixel segmentation and low-rank representation , 2017, Inf. Sci..
[13] Xiuping Jia,et al. Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[14] De-Shuang Huang,et al. A Constructive Hybrid Structure Optimization Methodology for Radial Basis Probabilistic Neural Networks , 2008, IEEE Transactions on Neural Networks.
[15] Chao Wang,et al. Feature extraction using constrained maximum variance mapping , 2008, Pattern Recognit..
[16] Zhang Peng-qiang. Novel Spectral Similarity Measurement Based Spectral Clustering Algorithm in Hyperspectral Imagery , 2012 .
[17] Sarah J. Graves,et al. A hyperspectral image can predict tropical tree growth rates in single-species stands. , 2016, Ecological applications : a publication of the Ecological Society of America.
[18] Saeid Homayouni,et al. An Improved FCM Algorithm Based on the SVDD for Unsupervised Hyperspectral Data Classification , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[19] Barbara Sturm,et al. Classification of organic beef freshness using VNIR hyperspectral imaging. , 2017, Meat science.
[20] Zihan Zhou,et al. Label Information Guided Graph Construction for Semi-Supervised Learning , 2017, IEEE Transactions on Image Processing.
[21] D. Donoho. For most large underdetermined systems of equations, the minimal 𝓁1‐norm near‐solution approximates the sparsest near‐solution , 2006 .
[22] Min Han,et al. Spectral-spatial classification of hyperspectral image based on discriminant sparsity preserving embedding , 2017, Neurocomputing.
[23] De-Shuang Huang,et al. A constructive approach for finding arbitrary roots of polynomials by neural networks , 2004, IEEE Transactions on Neural Networks.
[24] De-Shuang Huang,et al. A New Constrained Independent Component Analysis Method , 2007, IEEE Transactions on Neural Networks.
[25] Guangliang Chen,et al. Kernel Spectral Curvature Clustering (KSCC) , 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.
[26] René Vidal,et al. Sparse Subspace Clustering: Algorithm, Theory, and Applications , 2012, IEEE transactions on pattern analysis and machine intelligence.
[27] Fulin Luo,et al. Dimensionality reduction of hyperspectral images based on sparse discriminant manifold embedding , 2015 .
[28] Guangliang Chen,et al. Spectral Curvature Clustering (SCC) , 2009, International Journal of Computer Vision.
[29] Edward Y. Chang,et al. Parallel Spectral Clustering in Distributed Systems , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[30] Wenjun Zhou,et al. Spectral clustering of high-dimensional data exploiting sparse representation vectors , 2014, Neurocomputing.
[31] Trac D. Tran,et al. Hyperspectral Image Classification via Kernel Sparse Representation , 2013, IEEE Trans. Geosci. Remote. Sens..
[32] Liangpei Zhang,et al. Hyperspectral Image Restoration Using Low-Rank Matrix Recovery , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[33] Xinlei Chen,et al. Large Scale Spectral Clustering Via Landmark-Based Sparse Representation , 2015, IEEE Transactions on Cybernetics.
[34] Ansuman Banerjee,et al. Unsupervised and supervised classification of hyperspectral imaging data using projection pursuit and Markov random field segmentation , 2012 .
[35] Xiaofeng Wang,et al. An efficient local Chan-Vese model for image segmentation , 2010, Pattern Recognit..
[36] De-Shuang Huang,et al. A General CPL-AdS Methodology for Fixing Dynamic Parameters in Dual Environments , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[37] Yunming Ye,et al. A feature group weighting method for subspace clustering of high-dimensional data , 2012, Pattern Recognit..
[38] Xingming Sun,et al. Structural Minimax Probability Machine , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[39] Liangpei Zhang,et al. Spectral–Spatial Sparse Subspace Clustering for Hyperspectral Remote Sensing Images , 2016, IEEE Transactions on Geoscience and Remote Sensing.