A Classification-Based Model for Multi-Objective Hyperspectral Sparse Unmixing
暂无分享,去创建一个
Xuelong Li | Zhenwei Shi | Xia Xu | Bin Pan
[1] Xuelong Li,et al. Locality Adaptive Discriminant Analysis for Spectral–Spatial Classification of Hyperspectral Images , 2017, IEEE Geoscience and Remote Sensing Letters.
[2] Aurora Trinidad Ramirez Pozo,et al. MOEA/D-GM: Using probabilistic graphical models in MOEA/D for solving combinatorial optimization problems , 2015, ArXiv.
[3] Zhenwei Shi,et al. Multi-objective based spectral unmixing for hyperspectral images , 2017 .
[4] José M. Bioucas-Dias,et al. Hyperspectral Unmixing Based on Mixtures of Dirichlet Components , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[5] Maoguo Gong,et al. A Multiobjective Cooperative Coevolutionary Algorithm for Hyperspectral Sparse Unmixing , 2017, IEEE Transactions on Evolutionary Computation.
[6] 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.
[7] Shaoquan Zhang,et al. Hyperspectral Unmixing Based on Local Collaborative Sparse Regression , 2016, IEEE Geoscience and Remote Sensing Letters.
[8] Xuelong Li,et al. A Hybrid Sparsity and Distance-Based Discrimination Detector for Hyperspectral Images , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[9] Ning Zhang,et al. CoinNet: Copy Initialization Network for Multispectral Imagery Semantic Segmentation , 2019, IEEE Geoscience and Remote Sensing Letters.
[10] Johannes R. Sveinsson,et al. Blind Hyperspectral Unmixing Using Total Variation and $\ell_q$ Sparse Regularization , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[11] K. C. Ho,et al. Endmember Variability in Hyperspectral Analysis: Addressing Spectral Variability During Spectral Unmixing , 2014, IEEE Signal Processing Magazine.
[12] Aurora Trinidad Ramirez Pozo,et al. Multiobjective decomposition-based Mallows Models estimation of distribution algorithm. A case of study for permutation flowshop scheduling problem , 2017, Inf. Sci..
[13] Maria Petrou,et al. Confidence in linear spectral unmixing of single pixels , 1999, IEEE Trans. Geosci. Remote. Sens..
[14] Zhiguo Jiang,et al. Subspace Matching Pursuit for Sparse Unmixing of Hyperspectral Data , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[15] Ruyi Feng,et al. Adaptive non-local Euclidean medians sparse unmixing for hyperspectral imagery , 2014 .
[16] Le Wang,et al. Incorporating spatial information in spectral unmixing: A review , 2014 .
[17] Alexander Mendiburu,et al. A review on estimation of distribution algorithms in permutation-based combinatorial optimization problems , 2012, Progress in Artificial Intelligence.
[18] Antonio J. Plaza,et al. Robust Collaborative Nonnegative Matrix Factorization for Hyperspectral Unmixing , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[19] Paul D. Gader,et al. A Review of Nonlinear Hyperspectral Unmixing Methods , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[20] Yu Hen Hu,et al. Optimal linear spectral unmixing , 1999, IEEE Trans. Geosci. Remote. Sens..
[21] Mario Winter,et al. N-FINDR: an algorithm for fast autonomous spectral end-member determination in hyperspectral data , 1999, Optics & Photonics.
[22] Ying Wu,et al. Regularized Simultaneous Forward–Backward Greedy Algorithm for Sparse Unmixing of Hyperspectral Data , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[23] Liangpei Zhang,et al. Adaptive Multiobjective Memetic Fuzzy Clustering Algorithm for Remote Sensing Imagery , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[24] Antonio J. Plaza,et al. A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing , 2014, IEEE Signal Processing Magazine.
[25] Antonio J. Plaza,et al. Collaborative Sparse Regression for Hyperspectral Unmixing , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[26] Zhenwei Shi,et al. Analysis for the Weakly Pareto Optimum in Multiobjective-Based Hyperspectral Band Selection , 2019, IEEE Transactions on Geoscience and Remote Sensing.
[27] Yuntao Qian,et al. Adaptive ${L}_{\bf 1/2}$ Sparsity-Constrained NMF With Half-Thresholding Algorithm for Hyperspectral Unmixing , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[28] Maoguo Gong,et al. Unsupervised Band Selection Based on Evolutionary Multiobjective Optimization for Hyperspectral Images , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[29] Yang Yu,et al. Derivative-Free Optimization via Classification , 2016, AAAI.
[30] Zhenwei Shi,et al. ℓ0-based sparse hyperspectral unmixing using spectral information and a multi-objectives formulation , 2018, ISPRS Journal of Photogrammetry and Remote Sensing.
[31] José M. Bioucas-Dias,et al. Alternating direction algorithms for constrained sparse regression: Application to hyperspectral unmixing , 2010, 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.
[32] Min Zhou,et al. Collaborative Sparse Hyperspectral Unmixing Using $l_{0}$ Norm , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[33] John F. Mustard,et al. Spectral unmixing , 2002, IEEE Signal Process. Mag..
[34] Chein-I Chang,et al. A New Growing Method for Simplex-Based Endmember Extraction Algorithm , 2006, IEEE Transactions on Geoscience and Remote Sensing.
[35] Xuelong Li,et al. Manifold Regularized Sparse NMF for Hyperspectral Unmixing , 2013, IEEE Transactions on Geoscience and Remote Sensing.
[36] José M. Bioucas-Dias,et al. Vertex component analysis: a fast algorithm to unmix hyperspectral data , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[37] Richard J. Murphy,et al. A Novel Spectral Unmixing Method Incorporating Spectral Variability Within Endmember Classes , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[38] Antonio J. Plaza,et al. Sparse Unmixing of Hyperspectral Data , 2011, IEEE Transactions on Geoscience and Remote Sensing.
[39] Qi Wang,et al. Optimal Clustering Framework for Hyperspectral Band Selection , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[40] José M. Bioucas-Dias,et al. Semiblind Hyperspectral Unmixing in the Presence of Spectral Library Mismatches , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[41] Jun Li,et al. A Two-Phase Multiobjective Sparse Unmixing Approach for Hyperspectral Data , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[42] Antonio J. Plaza,et al. Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing , 2012, IEEE Transactions on Geoscience and Remote Sensing.