A Sturdy Nonlinear Hyperspectral Unmixing
暂无分享,去创建一个
K. Babulu | P. V. Naganjaneyulu | M. Venkata Sireesha | P. Naganjaneyulu | K. Babulu | M. Venkata Sireesha
[1] Yannick Deville,et al. Linear–Quadratic Mixing Model for Reflectances in Urban Environments , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[2] Pol Coppin,et al. Endmember variability in Spectral Mixture Analysis: A review , 2011 .
[3] G. Asner,et al. Spectral unmixing of vegetation, soil and dry carbon cover in arid regions: Comparing multispectral and hyperspectral observations , 2002 .
[4] 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.
[5] Mario Winter,et al. N-FINDR: an algorithm for fast autonomous spectral end-member determination in hyperspectral data , 1999, Optics & Photonics.
[6] K. C. Ho,et al. Endmember Variability in Hyperspectral Analysis: Addressing Spectral Variability During Spectral Unmixing , 2014, IEEE Signal Processing Magazine.
[7] Jean-Yves Tourneret,et al. Bilinear models for nonlinear unmixing of hyperspectral images , 2011, 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).
[8] Jean-Yves Tourneret,et al. Supervised Nonlinear Spectral Unmixing Using a Postnonlinear Mixing Model for Hyperspectral Imagery , 2012, IEEE Transactions on Image Processing.
[9] Colm P. O'Donnell,et al. Hyperspectral imaging – an emerging process analytical tool for food quality and safety control , 2007 .
[10] Laurent Tits,et al. A Comparison of Nonlinear Mixing Models for Vegetated Areas Using Simulated and Real Hyperspectral Data , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[11] Angshul Majumdar,et al. Hyperspectral Unmixing in the Presence of Mixed Noise Using Joint-Sparsity and Total Variation , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[12] Margaret E. Gardner,et al. Mapping Chaparral in the Santa Monica Mountains Using Multiple Endmember Spectral Mixture Models , 1998 .
[13] 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.
[14] Jean-Yves Tourneret,et al. Nonlinear unmixing of hyperspectral images using a generalized bilinear model , 2011, 2011 IEEE Statistical Signal Processing Workshop (SSP).
[15] John R. Miller,et al. Comparative study between a new nonlinear model and common linear model for analysing laboratory simulated‐forest hyperspectral data , 2009 .
[16] Hichem Snoussi,et al. Bayesian Estimation of Smooth Altimetric Parameters: Application to Conventional and Delay/Doppler Altimetry , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[17] Chris H. Q. Ding,et al. Robust nonnegative matrix factorization using L21-norm , 2011, CIKM '11.
[18] Steve McLaughlin,et al. Robust Linear Spectral Unmixing Using Anomaly Detection , 2015, IEEE Transactions on Computational Imaging.
[19] Sanjay Ghosh,et al. Artifact reduction for separable nonlocal means , 2017, J. Electronic Imaging.
[20] A. Ben Hamza,et al. Reconstruction of reflectance spectra using robust nonnegative matrix factorization , 2006, IEEE Transactions on Signal Processing.
[21] Jean-Yves Tourneret,et al. Detecting nonlinear mixtures in hyperspectral images , 2012, 2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS).
[22] Xiaofei He,et al. Robust non-negative matrix factorization , 2011 .
[23] Paul D. Gader,et al. Spatial and Spectral Unmixing Using the Beta Compositional Model , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[24] Jean-Yves Tourneret,et al. Hyperspectral Unmixing With Spectral Variability Using a Perturbed Linear Mixing Model , 2015, IEEE Transactions on Signal Processing.
[25] Nicolas Dobigeon,et al. Spectral mixture analysis of EELS spectrum-images. , 2012, Ultramicroscopy.
[26] D. Stein,et al. Application of the normal compositional model to the analysis of hyperspectral imagery , 2003, IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003.
[27] Sanjay Ghosh,et al. Fast separable nonlocal means , 2016, J. Electronic Imaging.
[28] Thierry Blu,et al. The SURE-LET Approach to Image Denoising , 2007, IEEE Transactions on Image Processing.
[29] Alfred O. Hero,et al. Nonlinear Unmixing of Hyperspectral Images: Models and Algorithms , 2013, IEEE Signal Processing Magazine.
[30] Jean-Yves Tourneret,et al. Bayesian Estimation of Linear Mixtures Using the Normal Compositional Model. Application to Hyperspectral Imagery , 2010, IEEE Transactions on Image Processing.
[31] José M. Bioucas-Dias,et al. Does independent component analysis play a role in unmixing hyperspectral data? , 2005, IEEE Trans. Geosci. Remote. Sens..
[32] Laurent Tits,et al. Quantifying Nonlinear Spectral Mixing in Vegetated Areas: Computer Simulation Model Validation and First Results , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[33] W. Verstraeten,et al. Nonlinear Hyperspectral Mixture Analysis for tree cover estimates in orchards , 2009 .
[34] Paul Honeine,et al. Hyperspectral Unmixing in Presence of Endmember Variability, Nonlinearity, or Mismodeling Effects , 2015, IEEE Transactions on Image Processing.
[35] 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).
[36] 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.
[37] José M. Bioucas-Dias,et al. Vertex component analysis: a fast algorithm to unmix hyperspectral data , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[38] 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..
[39] Gregory Asner,et al. Endmember bundles: a new approach to incorporating endmember variability into spectral mixture analysis , 2000, IEEE Trans. Geosci. Remote. Sens..
[40] Maria C. Torres-Madronero,et al. Unmixing Analysis of a Time Series of Hyperion Images Over the Guánica Dry Forest in Puerto Rico , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[41] C. Stein. Estimation of the Mean of a Multivariate Normal Distribution , 1981 .
[42] Guillermo Sapiro,et al. Real-time Online Singing Voice Separation from Monaural Recordings Using Robust Low-rank Modeling , 2012, ISMIR.
[43] Jean-Yves Tourneret,et al. Unsupervised Unmixing of Hyperspectral Images Accounting for Endmember Variability , 2014, IEEE Transactions on Image Processing.
[44] Athanasios A. Rontogiannis,et al. On the unmixing of MEx/OMEGA hyperspectral data , 2010, 1112.1527.
[45] Johannes R. Sveinsson,et al. Hyperspectral Unmixing With $l_{q}$ Regularization , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[46] Paul D. Gader,et al. Sampling Piecewise Convex Unmixing and Endmember Extraction , 2013, IEEE Transactions on Geoscience and Remote Sensing.
[47] Jie Chen,et al. Nonlinear Unmixing of Hyperspectral Data Based on a Linear-Mixture/Nonlinear-Fluctuation Model , 2013, IEEE Transactions on Signal Processing.
[48] 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.
[49] José M. Bioucas-Dias,et al. Nonlinear mixture model for hyperspectral unmixing , 2009, Remote Sensing.
[50] Joseph N. Wilson,et al. Using physics-based macroscopic and microscopic mixture models for hyperspectral pixel unmixing , 2012, Defense + Commercial Sensing.