Estimating the Number of Endmembers to Use in Spectral Unmixing of Hyperspectral Data with Collaborative Sparsity
暂无分享,去创建一个
Jocelyn Chanussot | Christian Jutten | Guillaume Tochon | Lucas Drumetz | C. Jutten | J. Chanussot | Lucas Drumetz | G. Tochon
[1] Genevera I. Allen,et al. ADMM Algorithmic Regularization Paths for Sparse Statistical Machine Learning , 2015, 1504.06637.
[2] 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.
[3] Antonio J. Plaza,et al. A new extended linear mixing model to address spectral variability , 2014, 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).
[4] José M. Bioucas-Dias,et al. Hyperspectral Subspace Identification , 2008, IEEE Transactions on Geoscience and Remote Sensing.
[5] 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..
[6] Jocelyn Chanussot,et al. Blind hyperspectral unmixing using an extended linear mixing model to address spectral variability , 2015, WHISPERS.
[7] Jocelyn Chanussot,et al. Hyperspectral Local Intrinsic Dimensionality , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[8] 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.
[9] Antonio J. Plaza,et al. Collaborative Sparse Regression for Hyperspectral Unmixing , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[10] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[11] D. B. Preston. Spectral Analysis and Time Series , 1983 .
[12] Jocelyn Chanussot,et al. Variability of the endmembers in spectral unmixing: Recent advances , 2016, 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).
[13] Amandine Robin,et al. Determining the Intrinsic Dimension of a Hyperspectral Image Using Random Matrix Theory , 2013, IEEE Transactions on Image Processing.
[14] Stephen P. Boyd,et al. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers , 2011, Found. Trends Mach. Learn..
[15] José M. Bioucas-Dias,et al. Vertex component analysis: a fast algorithm to unmix hyperspectral data , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[16] R. Tibshirani,et al. Least angle regression , 2004, math/0406456.
[17] David Mary,et al. Blind and Fully Constrained Unmixing of Hyperspectral Images , 2014, IEEE Transactions on Image Processing.