A Poisson nonnegative matrix factorization method with parameter subspace clustering constraint for endmember extraction in hyperspectral imagery
暂无分享,去创建一个
Liang-pei Zhang | Bo Du | Weiwei Sun | Jun Ma | Gang Yang | Liangpei Zhang
[1] G. Casella,et al. Explaining the Gibbs Sampler , 1992 .
[2] Mario Winter,et al. N-FINDR: an algorithm for fast autonomous spectral end-member determination in hyperspectral data , 1999, Optics & Photonics.
[3] Andreas T. Ernst,et al. ICE: a statistical approach to identifying endmembers in hyperspectral images , 2004, IEEE Transactions on Geoscience and Remote Sensing.
[4] Antonio J. Plaza,et al. A quantitative and comparative analysis of endmember extraction algorithms from hyperspectral data , 2004, IEEE Transactions on Geoscience and Remote Sensing.
[5] José M. Bioucas-Dias,et al. Vertex component analysis: a fast algorithm to unmix hyperspectral data , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[6] W. Gilks. Markov Chain Monte Carlo , 2005 .
[7] Antonio J. Plaza,et al. A fast iterative algorithm for implementation of pixel purity index , 2006, IEEE Geoscience and Remote Sensing Letters.
[8] S. J. Sutley,et al. USGS Digital Spectral Library splib06a , 2007 .
[9] Chong-Yung Chi,et al. A convex analysis-based minimum-volume enclosing simplex algorithm for hyperspectral unmixing , 2009, IEEE Trans. Signal Process..
[10] José M. Bioucas-Dias,et al. A variable splitting augmented Lagrangian approach to linear spectral unmixing , 2009, 2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.
[11] Alfred O. Hero,et al. Joint Bayesian Endmember Extraction and Linear Unmixing for Hyperspectral Imagery , 2009, IEEE Transactions on Signal Processing.
[12] Jun Zhou,et al. L1/2 Sparsity Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing , 2010, 2010 International Conference on Digital Image Computing: Techniques and Applications.
[13] Antonio J. Plaza,et al. An overview on hyperspectral unmixing: Geometrical, statistical, and sparse regression based approaches , 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.
[14] J. G. Lyon,et al. Hyperspectral Remote Sensing of Vegetation , 2011 .
[15] Stephen P. Boyd,et al. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..
[16] Antonio J. Plaza,et al. Automated Extraction of Image-Based Endmember Bundles for Improved Spectral Unmixing , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[17] Antonio J. Plaza,et al. Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches , 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[18] Lars Kai Hansen,et al. Archetypal analysis for machine learning , 2010, 2010 IEEE International Workshop on Machine Learning for Signal Processing.
[19] J. Chanussot,et al. Hyperspectral Remote Sensing Data Analysis and Future Challenges , 2013, IEEE Geoscience and Remote Sensing Magazine.
[20] Yongchao Zhao,et al. A Gaussian elimination based fast endmember extraction algorithm for hyperspectral imagery , 2013 .
[21] Nicolas Gillis,et al. Sparse nonnegative matrix underapproximation and its application to hyperspectral image analysis , 2013 .
[22] Jian Yu,et al. A Dictionary Learning Approach for Poisson Image Deblurring , 2013, IEEE Transactions on Medical Imaging.
[23] René Vidal,et al. Sparse Subspace Clustering: Algorithm, Theory, and Applications , 2012, IEEE transactions on pattern analysis and machine intelligence.
[24] K. C. Ho,et al. Endmember Variability in Hyperspectral Analysis: Addressing Spectral Variability During Spectral Unmixing , 2014, IEEE Signal Processing Magazine.
[25] Lifu Zhang,et al. Progress in Hyperspectral Remote Sensing Science and Technology in China Over the Past Three Decades , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[26] Antonio J. Plaza,et al. MUSIC-CSR: Hyperspectral Unmixing via Multiple Signal Classification and Collaborative Sparse Regression , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[27] Le Wang,et al. Incorporating spatial information in spectral unmixing: A review , 2014 .
[28] Bo Du,et al. Spatial-Spectral Information Based Abundance-Constrained Endmember Extraction Methods , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[29] Nicolas Gillis,et al. Hierarchical Clustering of Hyperspectral Images Using Rank-Two Nonnegative Matrix Factorization , 2013, IEEE Transactions on Geoscience and Remote Sensing.
[30] Uta Heiden,et al. Capability of Spaceborne Hyperspectral EnMAP Mission for Mapping Fractional Cover for Soil Erosion Modeling , 2015, Remote. Sens..
[31] Hassan Ghassemian,et al. Spectral Unmixing of Hyperspectral Imagery Using Multilayer NMF , 2014, IEEE Geoscience and Remote Sensing Letters.
[32] Andrea Taramelli,et al. Spectral characterization of coastal sediments using Field Spectral Libraries, Airborne Hyperspectral Images and Topographic LiDAR Data (FHyL) , 2015, Int. J. Appl. Earth Obs. Geoinformation.
[33] Nicolas Dobigeon,et al. Nonlinear Hyperspectral Unmixing With Robust Nonnegative Matrix Factorization , 2014, IEEE Transactions on Image Processing.
[34] P. Pellikka,et al. Application of hyperspectral remote sensing for flower mapping in African savannas , 2015 .
[35] Gregory S. Okin,et al. Evaluation of spectral unmixing techniques using MODIS in a structurally complex savanna environment for retrieval of green vegetation, nonphotosynthetic vegetation, and soil fractional cover , 2015 .
[36] Chong-Yung Chi,et al. A fast hyperplane-based MVES algorithm for hyperspectral unmixing , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[37] Antonio J. Plaza,et al. Minimum Volume Simplex Analysis: A Fast Algorithm for Linear Hyperspectral Unmixing , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[38] Shuyuan Yang,et al. Geometric Nonnegative Matrix Factorization (GNMF) for Hyperspectral Unmixing , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[39] Stephen McLaughlin,et al. Bayesian Nonlinear Hyperspectral Unmixing With Spatial Residual Component Analysis , 2014, IEEE Transactions on Computational Imaging.
[40] Philip Schniter,et al. Hyperspectral Unmixing Via Turbo Bilinear Approximate Message Passing , 2015, IEEE Transactions on Computational Imaging.
[41] Weiwei Sun,et al. Band Selection Using Improved Sparse Subspace Clustering for Hyperspectral Imagery Classification , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[42] Antonio J. Plaza,et al. Normal Endmember Spectral Unmixing Method for Hyperspectral Imagery , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[43] Bo Du,et al. An Abundance Characteristic-Based Independent Component Analysis for Hyperspectral Unmixing , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[44] Bo Du,et al. Hyperspectral signal unmixing based on constrained non-negative matrix factorization approach , 2016, Neurocomputing.
[45] Lin Zhao,et al. Blind spectral unmixing based on sparse component analysis for hyperspectral remote sensing imagery , 2016 .
[46] Xinpeng Du,et al. CUR Based Initialization Strategy for Non-Negative Matrix Factorization in Application to Hyperspectral Unmixing , 2016 .
[47] David A. Clausi,et al. Extraction of Endmembers From Hyperspectral Images Using A Weighted Fuzzy Purified-Means Clustering Model , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[48] Ajit Rajwade,et al. Dictionary learning for Poisson compressed sensing , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[49] Matthew L. Clark,et al. Mapping of land cover in northern California with simulated hyperspectral satellite imagery , 2016 .
[50] Youshen Xia,et al. Poissonian Hyperspectral Image Superresolution Using Alternating Direction Optimization , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[51] Stavros Stagakis,et al. Estimating forest species abundance through linear unmixing of CHRIS/PROBA imagery , 2016 .
[52] Jianhua Gong,et al. Land-cover classification of the Yellow River Delta wetland based on multiple end-member spectral mixture analysis and a Random Forest classifier , 2016 .
[53] Hussein El-Saify,et al. Minimum Time Problem for n×n Co-operative Hyperbolic Lag Systems , 2017 .