Least Angle Regression-Based Constrained Sparse Unmixing of Hyperspectral Remote Sensing Imagery

[1]  Jun Li,et al.  Spatial Discontinuity-Weighted Sparse Unmixing of Hyperspectral Images , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[2]  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.

[3]  Antonio J. Plaza,et al.  Joint Sparse Sub-Pixel Mapping Model with Endmember Variability for Remotely Sensed Imagery , 2016, Remote. Sens..

[4]  Wei Xia,et al.  An approach based on constrained nonnegative matrix factorization to unmix hyperspectral data , 2011, 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]  D. Lobell,et al.  Quantifying vegetation change in semiarid environments: precision and accuracy of spectral mixture analysis and the normalized difference vegetation index. , 2000 .

[7]  Alfonso Vitti,et al.  Reconstruction of River Boundaries at Sub-Pixel Resolution: Estimation and Spatial Allocation of Water Fractions , 2017, ISPRS Int. J. Geo Inf..

[8]  Licheng Jiao,et al.  Hybrid Unmixing Based on Adaptive Region Segmentation for Hyperspectral Imagery , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[9]  Il-Min Kim,et al.  ℓ0-Norm Sparse Hyperspectral Unmixing Using Arctan Smoothing , 2016, Remote. Sens..

[10]  J. Friedman Greedy function approximation: A gradient boosting machine. , 2001 .

[11]  Chen Shi,et al.  Linear Spatial Spectral Mixture Model , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[12]  Liangpei Zhang,et al.  Non-Local Sparse Unmixing for Hyperspectral Remote Sensing Imagery , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[13]  Mario Winter,et al.  N-FINDR: an algorithm for fast autonomous spectral end-member determination in hyperspectral data , 1999, Optics & Photonics.

[14]  Licheng Jiao,et al.  Hyperspectral Unmixing via Low-Rank Representation with Space Consistency Constraint and Spectral Library Pruning , 2018, Remote. Sens..

[15]  Jun Li,et al.  Spectral–Spatial Weighted Sparse Regression for Hyperspectral Image Unmixing , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[16]  Da He,et al.  Nonlocal Total Variation Subpixel Mapping for Hyperspectral Remote Sensing Imagery , 2016, Remote. Sens..

[17]  Emmanuel J. Candès,et al.  Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies? , 2004, IEEE Transactions on Information Theory.

[18]  Antonio J. Plaza,et al.  A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing , 2014, IEEE Signal Processing Magazine.

[19]  Antonio J. Plaza,et al.  Sparse Unmixing of Hyperspectral Data , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[20]  Antonio J. Plaza,et al.  Collaborative Sparse Regression for Hyperspectral Unmixing , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[21]  Emmanuel J. Candès,et al.  Decoding by linear programming , 2005, IEEE Transactions on Information Theory.

[22]  Qian Du,et al.  GETNET: A General End-to-End 2-D CNN Framework for Hyperspectral Image Change Detection , 2019, IEEE Transactions on Geoscience and Remote Sensing.

[23]  José M. Bioucas-Dias,et al.  An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems , 2009, IEEE Transactions on Image Processing.

[24]  Lin Zhao,et al.  Blind spectral unmixing based on sparse component analysis for hyperspectral remote sensing imagery , 2016 .

[25]  Xuelong Li,et al.  Scene Classification With Recurrent Attention of VHR Remote Sensing Images , 2019, IEEE Transactions on Geoscience and Remote Sensing.

[26]  Antonio J. Plaza,et al.  Using Linear Spectral Unmixing for Subpixel Mapping of Hyperspectral Imagery: A Quantitative Assessment , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[27]  Xuelong Li,et al.  Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification , 2019, IEEE Transactions on Geoscience and Remote Sensing.

[28]  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.

[29]  José M. Bioucas-Dias,et al.  Vertex component analysis: a fast algorithm to unmix hyperspectral data , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[30]  Chein-I Chang,et al.  Automatic spectral target recognition in hyperspectral imagery , 2003 .

[31]  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.

[32]  Min Zhou,et al.  Collaborative Sparse Hyperspectral Unmixing Using $l_{0}$ Norm , 2018, IEEE Transactions on Geoscience and Remote Sensing.

[33]  Antonio J. Plaza,et al.  Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[34]  Jun Huang,et al.  Sparse Unmixing of Hyperspectral Data with Noise Level Estimation , 2017, Remote. Sens..

[35]  Bin Luo,et al.  Exploration of Planetary Hyperspectral Images with Unsupervised Spectral Unmixing: A Case Study of Planet Mars , 2018, Remote. Sens..

[36]  Chein-I Chang,et al.  Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery , 2001, IEEE Trans. Geosci. Remote. Sens..

[37]  Jon Atli Benediktsson,et al.  Recent Advances in Techniques for Hyperspectral Image Processing , 2009 .

[38]  Michael Elad,et al.  On the Uniqueness of Nonnegative Sparse Solutions to Underdetermined Systems of Equations , 2008, IEEE Transactions on Information Theory.

[39]  Ruyi Feng,et al.  Adaptive non-local Euclidean medians sparse unmixing for hyperspectral imagery , 2014 .

[40]  Michael Elad,et al.  From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images , 2009, SIAM Rev..

[41]  Liangpei Zhang,et al.  Adaptive Spatial Regularization Sparse Unmixing Strategy Based on Joint MAP for Hyperspectral Remote Sensing Imagery , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[42]  Gang Liu,et al.  Double Reweighted Sparse Regression and Graph Regularization for Hyperspectral Unmixing , 2018, Remote. Sens..

[43]  R. Tibshirani,et al.  Least angle regression , 2004, math/0406456.

[44]  Wenjiang J. Fu Penalized Regressions: The Bridge versus the Lasso , 1998 .

[45]  Liangpei Zhang,et al.  Sub-Pixel Mapping Based on a MAP Model With Multiple Shifted Hyperspectral Imagery , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.