J. Bioucas-Dias

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This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 1 Spectral–Spatial Hyperspectral Image Segmentation Using S

Antonio J. Plaza, José M. Bioucas-Dias, Jun Li, 2022 .

Dictionary Learning Phase Retrieval from Noisy Diffraction Patterns

José M. Bioucas-Dias, Vladimir Katkovnik, Joshin Krishnan, 2018, Sensors.

Remotely Sensed Image Classification Using Sparse Representations of Morphological Attribute Profiles

J. Benediktsson, A. Plaza, Jun Li, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Fast frame-based image deconvolution using variable splitting and constrained optimization

Mário A. T. Figueiredo, J. Bioucas-Dias, M. Afonso, 2009, 2009 IEEE/SP 15th Workshop on Statistical Signal Processing.

Fast GEM wavelet-based image deconvolution algorithm

José M. Bioucas-Dias, J. Bioucas-Dias, 2003, ICIP.

Alternating direction algorithms for constrained sparse regression: Application to hyperspectral unmixing

José M. Bioucas-Dias, Mário A. T. Figueiredo, J. Bioucas-Dias, 2010, 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

Near-infrared hyperspectral unmixing based on a minimum volume criterion for fast and accurate chemometric characterization of counterfeit tablets.

Mário A. T. Figueiredo, M. Lopes, J. Bioucas-Dias, 2010, Analytical chemistry.

Multiband Image Fusion Based on Spectral Unmixing

Simon J. Godsill, Jean-Yves Tourneret, José M. Bioucas-Dias, 2016, IEEE Transactions on Geoscience and Remote Sensing.

Does independent component analysis play a role in unmixing hyperspectral data?

José M. Bioucas-Dias, José M. P. Nascimento, J. Bioucas-Dias, 2003, IEEE Transactions on Geoscience and Remote Sensing.

An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems

José M. Bioucas-Dias, Mário A. T. Figueiredo, Manya V. Afonso, 2009, IEEE Transactions on Image Processing.

Adaptive total variation image deblurring: A majorization-minimization approach

José M. Bioucas-Dias, Mário A. T. Figueiredo, João Pedro Oliveira, 2009, Signal Process..

Majorization–Minimization Algorithms for Wavelet-Based Image Restoration

Robert D. Nowak, José M. Bioucas-Dias, Mário A. T. Figueiredo, 2007, IEEE Transactions on Image Processing.

A New TwIST: Two-Step Iterative Shrinkage/Thresholding Algorithms for Image Restoration

José M. Bioucas-Dias, Mário A. T. Figueiredo, J. Bioucas-Dias, 2007, IEEE Transactions on Image Processing.

Restoration of Poissonian Images Using Alternating Direction Optimization

José M. Bioucas-Dias, Mário A. T. Figueiredo, J. Bioucas-Dias, 2010, IEEE Transactions on Image Processing.

Hyperspectral Pansharpening: A Review

Naoto Yokoya, Jocelyn Chanussot, Jean-Yves Tourneret, 2015, IEEE Geoscience and Remote Sensing Magazine.

Bayesian Segmentation of Oceanic SAR Images: Application to Oil Spill Detection

J. Bioucas-Dias, S. Pelizzari, 2010, 1007.4969.

Hyperspectral image segmentation using FSMLR with Jeffreys prior

André R. S. Marçal, Jose M. Bioucas-Dias, Janete S. Borges, 2009 .

CAPE : combinatorial absolute phase estimation Technical report , IT / IST Communications theory and Pattern Recognition Group

J. Bioucas-Dias, G. Valadão, 2009 .

Hyperspectral Image Segmentation with Discriminative Class Learning

José M. Bioucas-Dias, André R. S. Marçal, Janete S. Borges, 2007 .

High-Spatial-Resolution Aerosol Optical Properties Retrieval Algorithm Using Chinese High-Resolution Earth

P. Atkinson, P. Litkey, M. Mõttus, 2016 .

Hyperspectral segmentation with active learning

A. Plaza, Jun Li, J. Bioucas-Dias, 2010 .

Quantification of Components in Non-Homogenous Pharmaceutical Tablets Using near Infrared Reflectance Imaging

Mário A. T. Figueiredo, M. Lopes, J. Bioucas-Dias, 2010 .

Adaptive Total Variation Image Deconvolution : Application to Magnetic Resonance Imaging

Mário A. T. Figueiredo, J. Bioucas-Dias, J. Oliveira, 2009 .

Identification and matching of sparse Delay-Doppler Spread Functions from high-frequency communications signals

J. Bioucas-Dias, J. Gomes, E. Zamanizadeh, 2010, OCEANS 2010 MTS/IEEE SEATTLE.

Algorithms for Imaging Inverse Problems Under Sparsity and Structured Sparsity Regularization .

Mário A. T. Figueiredo, J. Bioucas-Dias, 2012 .

Hyperspectral Unmixing Based on Mixtures of

José M. P. Nascimento, Jose M. Bioucas-Dias, J. Bioucas-Dias, 2012 .

Edge preserving phase unwrapping using graph cuts

J. Bioucas-Dias, G. Valadão, 2006 .

Hyperspectral Imagery Framework for Unmixing and Dimensionality Estimation

J. Bioucas-Dias, J. Nascimento, 2013 .

Does Nonlinear Modeling Play a Role in Plasmid Bioprocess Monitoring Using Fourier Transform Infrared Spectra?

Mário A. T. Figueiredo, M. Lopes, J. Bioucas-Dias, 2017, Applied spectroscopy.

Sparse‐coding denoising applied to reversible conformational switching of a porphyrin self‐assembled monolayer induced by scanning tunnelling microscopy

Mário A. T. Figueiredo, J. Bioucas-Dias, L. Alcácer, 2018, Journal of microscopy.

Identification of Sparse Time-Varying Underwater Channels Through Basis Pursuit Methods

J. Bioucas-Dias, J. Gomes, E. Zamanizadeh, 2010 .

MODEL-BASED UNDERWATER ACOUSTIC SOURCE LOCALIZATION AND SPEED ESTIMATION USING HF TRANSMISSIONS

J. Bioucas-Dias, J. Gomes, E. Zamanizadeh, 2012 .

From diversity and denoising to phase imaging

J. Bioucas-Dias, G. Valadão, 2009 .

A comparison of algorithms for separation of synchronous subspaces

Miguel S. B. Almeida, E. Oja, R. Vigário, 2012 .

Restoration of Multilayered Single-Photon 3D Lidar Images

G. Buller, J. Bioucas-Dias, S. Mclaughlin, 2018, 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM).

PATCH-BASED INTERFEROMETRIC PHASE ESTIMATION VIA MIXTURE OF GAUSSIAN DENSITY MODELLING IN THE COMPLEX DOMAIN

Joshin P. Krishnan, J. Bioucas-Dias, 2017 .

Multi‐frequency Phase Unwrap from Noisy Data: Adaptive Least Squares Approach

V. Katkovnik, J. Bioucas-Dias, 2010 .

Block-Gaussian-Mixture Priors for Hyperspectral Denoising and Inpainting

Mário A. T. Figueiredo, Jose M. Bioucas-Dias, Afonso M. Teodoro, 2021, IEEE Transactions on Geoscience and Remote Sensing.

HYPERSPECTRAL IMAGE CLASSIFICATIO BASED O A FAST BREGMA SPARSE MULTI OMIAL LOGISTIC REGRESSIO ALGORITHM

A. Plaza, J. Bioucas-Dias, J. Li, 2009 .

Signal subspace identification in hyperspectral imagery

José M. P. Nascimento, Jose M. Bioucas-Dias, J. Bioucas-Dias, 2012 .

Restoring STM images via Sparse Coding: noise and artifact removal pdf

José M. Bioucas-Dias, Mário A. T. Figueiredo, Jorge Morgado, 2016, ArXiv.

Interferometric Phase Image Estimation via Sparse Coding in the Complex Domain

José M. Bioucas-Dias, Vladimir Katkovnik, Hao Hongxing, 2015, IEEE Transactions on Geoscience and Remote Sensing.

An overview on hyperspectral unmixing: Geometrical, statistical, and sparse regression based approaches

Antonio J. Plaza, José M. Bioucas-Dias, A. Plaza, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

Pansharpening Based on Semiblind Deconvolution

Jocelyn Chanussot, José M. Bioucas-Dias, Rocco Restaino, 2015, IEEE Transactions on Geoscience and Remote Sensing.

Fast Image Recovery Using Variable Splitting and Constrained Optimization

José M. Bioucas-Dias, Mário A. T. Figueiredo, Manya V. Afonso, 2009, IEEE Transactions on Image Processing.

Convex Formulation for Multiband Image Classification With Superpixel-Based Spatial Regularization

Jun Li, Peijun Du, Yi Liu, 2018, IEEE Transactions on Geoscience and Remote Sensing.

Convex formulation for hyperspectral image classification with superpixels

Antonio J. Plaza, Yi Liu, José M. Bioucas-Dias, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Hyperspectral Remote Sensing Data Analysis and Future Challenges

J. Chanussot, A. Plaza, J. M. Bioucas-Dias, 2013, IEEE Geoscience and Remote Sensing Magazine.

Antonio J. Plaza, José M. Bioucas-Dias, Jun Li, 2022 .

Bayesian Hyperspectral Image Segmentation With Discriminative Class Learning

José M. Bioucas-Dias, André R. S. Marçal, Janete S. Borges, 2007, IEEE Transactions on Geoscience and Remote Sensing.

Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

Antonio J. Plaza, Paul D. Gader, Jocelyn Chanussot, 2012, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Phase Unwrapping via Graph Cuts

José M. Bioucas-Dias, Gonçalo Valadão, J. Bioucas-Dias, 2005, IEEE Transactions on Image Processing.

Separation of Synchronous Sources Through Phase Locked Matrix Factorization

José M. Bioucas-Dias, Ricardo Vigário, Miguel S. B. Almeida, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Hyperspectral unmixing: geometrical, statistical, and sparse regression-based approaches

Antonio Plaza, José M. Bioucas-Dias, A. Plaza, 2010, Remote Sensing.

A variable splitting augmented Lagrangian approach to linear spectral unmixing

José M. Bioucas-Dias, J. Bioucas-Dias, 2009, 2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

Semisupervised Hyperspectral Image Classification Using Soft Sparse Multinomial Logistic Regression

Antonio J. Plaza, José M. Bioucas-Dias, Jun Li, 2013, IEEE Geoscience and Remote Sensing Letters.

Semisupervised Self-Learning for Hyperspectral Image Classification

Jon Atli Benediktsson, Antonio J. Plaza, José M. Bioucas-Dias, 2013, IEEE Transactions on Geoscience and Remote Sensing.

Semi-supervised discriminative random field for hyperspectral image classification

Antonio J. Plaza, José M. Bioucas-Dias, Jun Li, 2012, 2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS).

A new semi-supervised algorithm for hyperspectral image classification based on spectral unmixing concepts

Antonio J. Plaza, Alberto Villa, José M. Bioucas-Dias, 2011, 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Semi-supervised hyperspectral image classification using a new (soft) sparse multinomial logistic regression model

Antonio J. Plaza, José M. Bioucas-Dias, Jun Li, 2011, WHISPERS.

Determination of the composition of counterfeit Heptodin tablets by near infrared chemical imaging and classical least squares estimation.

Jean-Claude Wolff, Mário A. T. Figueiredo, Marta B Lopes, 2009, Analytica chimica acta.

Semisupervised Hyperspectral Image Segmentation Using Multinomial Logistic Regression With Active Learning

Antonio J. Plaza, José M. Bioucas-Dias, Jun Li, 2010, IEEE Transactions on Geoscience and Remote Sensing.

Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing

Antonio J. Plaza, Marian-Daniel Iordache, José M. Bioucas-Dias, 2012, IEEE Transactions on Geoscience and Remote Sensing.

Sparse Unmixing of Hyperspectral Data

Antonio J. Plaza, Marian-Daniel Iordache, José M. Bioucas-Dias, 2011, IEEE Transactions on Geoscience and Remote Sensing.

Recent developments in sparse hyperspectral unmixing

Antonio J. Plaza, Marian-Daniel Iordache, José M. Bioucas-Dias, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

Robust Restoration of Sparse Multidimensional Single-Photon LiDAR Images

Aongus McCarthy, Stephen McLaughlin, Gerald S. Buller, 2020, IEEE Transactions on Computational Imaging.

Restoration of Multilayered Single-Photon 3D Lidar Images

José M. Bioucas-Dias, Ximing Ren, Stephen McLaughlin, 2018, 2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM).

A New Low-Rank Representation Based Hyperspectral Image Denoising Method for Mineral Mapping

Lianru Gao, Bing Zhang, José M. Bioucas-Dias, 2017, Remote. Sens..

Sharpening Hyperspectral Images Using Spatial and Spectral Priors in a Plug-and-Play Algorithm

José M. Bioucas-Dias, Mário A. T. Figueiredo, Afonso M. Teodoro, 2017, EMMCVPR.

Scene-Adapted plug-and-play algorithm with convergence guarantees

José M. Bioucas-Dias, Mário A. T. Figueiredo, Afonso M. Teodoro, 2017, 2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP).

Image restoration and reconstruction using variable splitting and class-adapted image priors

José M. Bioucas-Dias, Mário A. T. Figueiredo, Afonso M. Teodoro, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

Parallel Hyperspectral Coded Aperture for Compressive Sensing on GPUs

Antonio J. Plaza, José M. Bioucas-Dias, José M. P. Nascimento, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

A fast parallel hyperspectral coded aperture algorithm for compressive sensing using OpenCL

Antonio J. Plaza, Manuel Prieto, José M. Bioucas-Dias, 2015, IEEE EUROCON 2015 - International Conference on Computer as a Tool (EUROCON).

HYCA: A New Technique for Hyperspectral Compressive Sensing

José M. Bioucas-Dias, Gabriel Martín, Antonio J. Plaza, 2015, IEEE Trans. Geosci. Remote. Sens..

A Convex Formulation for Hyperspectral Image Superresolution via Subspace-Based Regularization

Jocelyn Chanussot, José M. Bioucas-Dias, Luís B. Almeida, 2014, IEEE Transactions on Geoscience and Remote Sensing.

A New Pansharpening Method Based on Spatial and Spectral Sparsity Priors

Jocelyn Chanussot, José M. Bioucas-Dias, Laurent Condat, 2014, IEEE Transactions on Image Processing.

Collaborative Sparse Regression for Hyperspectral Unmixing

Antonio J. Plaza, Marian-Daniel Iordache, José M. Bioucas-Dias, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Hyperspectral Image Super-Resolution via Local Low-Rank and Sparse Representations

Shutao Li, José M. Bioucas-Dias, Leyuan Fang, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Hyperspectral Super-Resolution of Locally Low Rank Images From Complementary Multisource Data

Jocelyn Chanussot, José M. Bioucas-Dias, Miguel Angel Veganzones, 2014, IEEE Transactions on Image Processing.

Hyperspectral and Multispectral Image Fusion Based on a Sparse Representation

Jean-Yves Tourneret, Nicolas Dobigeon, Qi Wei, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Two-Step Algorithms for Linear Inverse Problems with Non-Quadratic Regularization

José M. Bioucas-Dias, Mário A. T. Figueiredo, J. Bioucas-Dias, 2007, 2007 IEEE International Conference on Image Processing.

R-FUSE: Robust Fast Fusion of Multiband Images Based on Solving a Sylvester Equation

Simon J. Godsill, Jean-Yves Tourneret, José M. Bioucas-Dias, 2016, IEEE Signal Processing Letters.

Minimum Volume Simplex Analysis: A Fast Algorithm to Unmix Hyperspectral Data

José M. Bioucas-Dias, Jun Li, Jun Li, 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

Vertex component analysis: a fast algorithm to unmix hyperspectral data

José M. Bioucas-Dias, José M. P. Nascimento, J. Bioucas-Dias, 2005, IEEE Transactions on Geoscience and Remote Sensing.

A Convergent Image Fusion Algorithm Using Scene-Adapted Gaussian-Mixture-Based Denoising

José M. Bioucas-Dias, Mário A. T. Figueiredo, Afonso M. Teodoro, 2019, IEEE Transactions on Image Processing.

Scene-Adapted Plug-and-Play Algorithm with Guaranteed Convergence: Applications to Data Fusion in Imaging pdf

José M. Bioucas-Dias, Mário A. T. Figueiredo, Afonso M. Teodoro, 2018, ArXiv.

Collaborative sparse regression using spatially correlated supports - Application to hyperspectral unmixing

José M. Bioucas-Dias, Yoann Altmann, Marcelo Pereyra, 2014, IEEE Transactions on Image Processing.

Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization

José M. Bioucas-Dias, Mário A. T. Figueiredo, J. Bioucas-Dias, 2009, IEEE Transactions on Image Processing.

Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse Representations

José M. Bioucas-Dias, Lina Zhuang, J. Bioucas-Dias, 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Total variation restoration of speckled images using a split-bregman algorithm

José M. Bioucas-Dias, Mário A. T. Figueiredo, J. Bioucas-Dias, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Maximum-a-posteriori estimation with unknown regularisation parameters

José M. Bioucas-Dias, Mário A. T. Figueiredo, Marcelo Pereyra, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

An Alternating Direction Algorithm for Total Variation Reconstruction of Distributed Parameters

José M. Bioucas-Dias, Raul Carneiro Martins, A. Cruz Serra, 2012, IEEE Transactions on Image Processing.

AN OVERLAPPED GROUP ITERATIVE METHOD FOR SOLVING LINEAR SYSTEMS

J. Bioucas-Dias, 2001 .

Collaborative nonnegative matrix factorization for remotely sensed hyperspectral unmixing

Antonio J. Plaza, José M. Bioucas-Dias, Jun Li, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Performance measures for classification systems with rejection

Jelena Kovacevic, José M. Bioucas-Dias, Filipe Condessa, 2015, Pattern Recognit..

Supervised Hyperspectral Image Classification With Rejection

Jelena Kovacevic, José M. Bioucas-Dias, Filipe Condessa, 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Supervised hyperspectral image classification with rejection

Jelena Kovacevic, José M. Bioucas-Dias, Filipe Condessa, 2016, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

CAPE: combinatorial absolute phase estimation.

Gonçalo Valadão, José Bioucas-Dias, J. Bioucas-Dias, 2009, Journal of the Optical Society of America. A, Optics, image science, and vision.

Evaluation of bayesian hyperspectral image segmentation with a discriminative class learning

José M. Bioucas-Dias, André R. S. Marçal, Janete S. Borges, 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

PUMA : Phase Unwrapping via MAx flows

Gonçalo Valadão, José Bioucas-Dias, J. Bioucas-Dias, 2007 .

Adaptive total variation image deconvolution: A majorization-minimization approach

José M. Bioucas-Dias, Mário A. T. Figueiredo, João Pedro Oliveira, 2006, 2006 14th European Signal Processing Conference.

Total Variation-Based Image Deconvolution: a Majorization-Minimization Approach

José M. Bioucas-Dias, Mário A. T. Figueiredo, João Pedro Oliveira, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Multi-superpixelization-based convex formulation for joint classification of hyperspectral and lidar data

Antonio J. Plaza, José M. Bioucas-Dias, Jun Li, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Bayesian image segmentation using hidden fields: Supervised, unsupervised, and semi-supervised formulations

José M. Bioucas-Dias, Mário A. T. Figueiredo, J. Bioucas-Dias, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Alternating direction optimization for image segmentation using hidden Markov measure field models

Jelena Kovacevic, José M. Bioucas-Dias, Filipe Condessa, 2014, Electronic Imaging.

Semi-supervised hyperspectral image segmentation

Antonio J. Plaza, José M. Bioucas-Dias, Jun Li, 2009, 2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

The ZπM algorithm: a method for interferometric image reconstruction in SAR/SAS

José M. N. Leitão, José M. Bioucas-Dias, J. Bioucas-Dias, 2002, IEEE Trans. Image Process..

A Discrete/Continuous Minimization Method in Interferometric Image Processing

José M. N. Leitão, José M. Bioucas-Dias, J. Bioucas-Dias, 2001, EMMCVPR.

Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network pdf

Konrad Schindler, José M. Bioucas-Dias, Emmanuel Baltsavias, 2018, ISPRS Journal of Photogrammetry and Remote Sensing.

Phase imaging via sparse coding in the complex domain based on high-order svd and nonlocal BM3D techniques

Karen O. Egiazarian, José M. Bioucas-Dias, Vladimir Katkovnik, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Investigating Counterfeit Medicines—The near Infrared Chemical Imaging Picture

Mário A. T. Figueiredo, M. Lopes, J. Bioucas-Dias, 2011 .

Non-cyclic deconvolution using an augmented lagrangian method

José M. Bioucas-Dias, Mário A. T. Figueiredo, Manya V. Afonso, 2011, 2011 IEEE EUROCON - International Conference on Computer as a Tool.

An augmented Lagrangian approach to linear inverse problems with compound regularization

José M. Bioucas-Dias, Mário A. T. Figueiredo, Manya V. Afonso, 2010, 2010 IEEE International Conference on Image Processing.

A fast algorithm for the constrained formulation of compressive image reconstruction and other linear inverse problems

José M. Bioucas-Dias, Mário A. T. Figueiredo, Manya V. Afonso, 2009, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Phase Locked Matrix Factorization

José M. Bioucas-Dias, Ricardo Vigário, Miguel S. B. Almeida, 2011, 2011 19th European Signal Processing Conference.

Microwave Breast Imaging Using a Dry Setup

Carlos A. Fernandes, Jorge R. Costa, Jose M. Bioucas-Dias, 2020, IEEE Transactions on Computational Imaging.

Quantifying the Uncertainty of Land Surface Temperature Retrievals From SEVIRI/Meteosat

José M. Bioucas-Dias, Isabel F. Trigo, Sandra C. Freitas, 2010, IEEE Transactions on Geoscience and Remote Sensing.

MUSIC-CSR: Hyperspectral Unmixing via Multiple Signal Classification and Collaborative Sparse Regression

Antonio J. Plaza, Ben Somers, Marian-Daniel Iordache, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Hyperspectral Subspace Identification

José M. Bioucas-Dias, José M. P. Nascimento, J. Bioucas-Dias, 2008, IEEE Transactions on Geoscience and Remote Sensing.

Vertex component analysis: a geometric-based approach to unmix hyperspectral data

José M. P. Nascimento, Jose M. Bioucas-Dias, J. Bioucas-Dias, 2007 .

Regularization Parameter Selection in Minimum Volume Hyperspectral Unmixing

Mário A. T. Figueiredo, Lina Zhuang, Jose M. Bioucas-Dias, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Generalized Composite Kernel Framework for Hyperspectral Image Classification

Jon Atli Benediktsson, Antonio J. Plaza, José M. Bioucas-Dias, 2013, IEEE Transactions on Geoscience and Remote Sensing.

Nonlocal Sparse Tensor Factorization for Semiblind Hyperspectral and Multispectral Image Fusion

Leyuan Fang, Renwei Dian, Shutao Li, 2019, IEEE Transactions on Cybernetics.

Segmentation and Detection of Colorectal Polyps Using Local Polynomial Approximation

José M. Bioucas-Dias, Filipe Condessa, J. Bioucas-Dias, 2012, ICIAR.

Hyperspectral Image Denoising Based on Global and Nonlocal Low-Rank Factorizations

José M. Bioucas-Dias, Lina Zhuang, Xiyou Fu, 2021, IEEE Transactions on Geoscience and Remote Sensing.

A Subspace-Based Multinomial Logistic Regression for Hyperspectral Image Classification

Antonio J. Plaza, Mahdi Khodadadzadeh, José M. Bioucas-Dias, 2014, IEEE Geoscience and Remote Sensing Letters.

Hyperspectral image superresolution: An edge-preserving convex formulation

Jocelyn Chanussot, José M. Bioucas-Dias, Luís B. Almeida, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Spectral–Spatial Classification of Hyperspectral Data Using Local and Global Probabilities for Mixed Pixel Characterization

Antonio J. Plaza, Mahdi Khodadadzadeh, José M. Bioucas-Dias, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization

Shutao Li, José M. Bioucas-Dias, Leyuan Fang, 2018, IEEE Transactions on Image Processing.

Multiple Feature Learning for Hyperspectral Image Classification

Jon Atli Benediktsson, Antonio J. Plaza, Liangpei Zhang, 2015, IEEE Transactions on Geoscience and Remote Sensing.

Robust Collaborative Nonnegative Matrix Factorization for Hyperspectral Unmixing

Antonio J. Plaza, José M. Bioucas-Dias, Jun Li, 2015, IEEE Transactions on Geoscience and Remote Sensing.

Super-Resolution of Multispectral Multiresolution Images from a Single Sensor

Konrad Schindler, José M. Bioucas-Dias, Charis Lanaras, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Super-resolution of hyperspectral images using local spectral unmixing

Jocelyn Chanussot, José M. Bioucas-Dias, Miguel Angel Veganzones, 2014, 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Hyperspectral Image Segmentation Using a New Bayesian Approach With Active Learning

Antonio J. Plaza, José M. Bioucas-Dias, Jun Li, 2011, IEEE Transactions on Geoscience and Remote Sensing.

Spectral-spatial classification for hyperspectral data using SVM and subspace MLR

Antonio J. Plaza, Mahdi Khodadadzadeh, José M. Bioucas-Dias, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Unmixing hyperspectral intimate mixtures

José M. Bioucas-Dias, José M. P. Nascimento, J. Bioucas-Dias, 2010, Remote Sensing.

Nonlinear mixture model for hyperspectral unmixing

José M. Bioucas-Dias, José M. P. Nascimento, J. Bioucas-Dias, 2009, Remote Sensing.

Hy-Demosaicing: Hyperspectral Blind Reconstruction from Spectral Subsampling

José M. Bioucas-Dias, Lina Zhuang, J. Bioucas-Dias, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Hyperspectral signal subspace estimation

José M. Bioucas-Dias, José M. P. Nascimento, J. Bioucas-Dias, 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

Nonparametric estimation of mean Doppler and spectral width

José M. N. Leitão, José M. Bioucas-Dias, J. Bioucas-Dias, 2000, IEEE Trans. Geosci. Remote. Sens..

Contour Estimation on Piecewise Homogeneous Random Fields

José M. Bioucas-Dias, José A. Moinhos Cordeiro, J. Bioucas-Dias, 1999, ICEIS.

Wall position and thickness estimation from sequences of echocardiographic images

José M. N. Leitão, José M. Bioucas-Dias, J. Bioucas-Dias, 1996, IEEE Trans. Medical Imaging.

Sparse Distributed Multitemporal Hyperspectral Unmixing

Johannes R. Sveinsson, Magnus O. Ulfarsson, José M. Bioucas-Dias, 2017, IEEE Transactions on Geoscience and Remote Sensing.

On Total Variation Denoising: A New Majorization-Minimization Algorithm and an Experimental Comparisonwith Wavalet Denoising

Robert D. Nowak, José M. Bioucas-Dias, Mário A. T. Figueiredo, 2006, 2006 International Conference on Image Processing.

Self-Dictionary Sparse Regression for Hyperspectral Unmixing: Greedy Pursuit and Pure Pixel Search Are Related

José M. Bioucas-Dias, Wing-Kin Ma, Xiao Fu, 2014, IEEE Journal of Selected Topics in Signal Processing.

Separation of phase-locked sources in pseudo-real MEG data

José M. Bioucas-Dias, Ricardo Vigário, Miguel S. B. Almeida, 2013, EURASIP J. Adv. Signal Process..

Source Separation and Clustering of Phase-Locked Subspaces

José M. Bioucas-Dias, Ricardo Vigário, Jan-Hendrik Schleimer, 2011, IEEE Transactions on Neural Networks.

A Novel Sharpening Approach for Superresolving Multiresolution Optical Images

Lorenzo Bruzzone, Claudia Paris, José Bioucas-Dias, 2019, IEEE Transactions on Geoscience and Remote Sensing.

A New Multiple Classifier System for Semi-supervised Analysis of Hyperspectral Images

Jon Atli Benediktsson, Antonio J. Plaza, José M. Bioucas-Dias, 2016, ICPRAM.

Hyperspectral image reconstruction from random projections on GPU

José M. Bioucas-Dias, José M. P. Nascimento, Gabriel Martín, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Fusion of multispectral and hyperspectral images based on sparse representation

Jean-Yves Tourneret, José M. Bioucas-Dias, Nicolas Dobigeon, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

A new extended linear mixing model to address spectral variability

Antonio J. Plaza, Jocelyn Chanussot, José M. Bioucas-Dias, 2014, 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Hyperspectral coded aperture (HYCA): A new technique for hyperspectral compressive sensing

Antonio J. Plaza, José M. Bioucas-Dias, Gabriel Martín, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Collaborative sparse unmixing of hyperspectral data

Antonio J. Plaza, Marian-Daniel Iordache, José M. Bioucas-Dias, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Vertex component analysis GPU-based implementation for hyperspectral unmixing

Antonio J. Plaza, José M. Bioucas-Dias, José M. P. Nascimento, 2012, 2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS).

A new semi-supervised approach for hyperspectral image classification with different active learning strategies

Antonio J. Plaza, José M. Bioucas-Dias, Jun Li, 2012, 2012 4th Workshop on Hyperspectral Image and Signal Processing (WHISPERS).

Foreword to the Special Issue on Spectral Unmixing of Remotely Sensed Data

Qian Du, Antonio J. Plaza, Fred A. Kruse, 2011 .

Integration of Hyperspectral Image Classification and Unmixing for Active Learning

Jun Li, Antonio Plaza, Jose M. Bioucas-Dias, 2011, 2011 International Symposium on Image and Data Fusion.

A new subspace discriminant analysis approach for supervised hyperspectral image classification

Antonio J. Plaza, José M. Bioucas-Dias, Jun Li, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

HYPER-I-NET: European research network on hyperspectral imaging

Jon Atli Benediktsson, Antonio J. Plaza, Jocelyn Chanussot, 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

Hyperspectral Image Denoising and Anomaly Detection Based on Low-Rank and Sparse Representations

Lianru Gao, Bing Zhang, José M. Bioucas-Dias, 2017, IEEE Transactions on Geoscience and Remote Sensing.

Exploiting spatial information in semi-supervised hyperspectral image segmentation

Antonio J. Plaza, José M. Bioucas-Dias, Jun Li, 2010, 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

Adaptive Hyperspectral Mixed Noise Removal

José M. Bioucas-Dias, Ting-Zhu Huang, Lina Zhuang, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Parallel Hyperspectral Unmixing on GPUs

Antonio J. Plaza, José M. Bioucas-Dias, José M. P. Nascimento, 2014, IEEE Geoscience and Remote Sensing Letters.

Hyperspectral unmixing algorithm via dependent component analysis

José M. Bioucas-Dias, José M. P. Nascimento, J. Bioucas-Dias, 2007, 2007 IEEE International Geoscience and Remote Sensing Symposium.

Minimum Volume Simplex Analysis: A Fast Algorithm for Linear Hyperspectral Unmixing

Antonio J. Plaza, Xia Li, José M. Bioucas-Dias, 2015, IEEE Transactions on Geoscience and Remote Sensing.

An iterative algorithm for linear inverse problems with compound regularizers

José M. Bioucas-Dias, Mário A. T. Figueiredo, J. Bioucas-Dias, 2008, 2008 15th IEEE International Conference on Image Processing.

Hyperspectral Unmixing in Presence of Endmember Variability, Nonlinearity, or Mismodeling Effects

Paul Honeine, José M. Bioucas-Dias, Abderrahim Halimi, 2015, IEEE Transactions on Image Processing.

Hyperspectral unmixingwith sparse group lasso

Antonio J. Plaza, Marian-Daniel Iordache, José M. Bioucas-Dias, 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

Close Encounters of the Binary Kind: Signal Reconstruction Guarantees for Compressive Hadamard Sampling With Haar Wavelet Basis

Laurent Jacques, José M. Bioucas-Dias, Amirafshar Moshtaghpour, 2019, IEEE Transactions on Information Theory.

Effect of Denoising in Band Selection for Regression Tasks in Hyperspectral Datasets

Filiberto Pla, José Martínez Sotoca, José M. Bioucas-Dias, 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Parallel implementation of vertex component analysis for hyperspectral endmember extraction

Antonio J. Plaza, José M. Bioucas-Dias, José M. P. Nascimento, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Hyperspectral Unmixing Based on Mixtures of Dirichlet Components

José M. Bioucas-Dias, José M. P. Nascimento, J. Bioucas-Dias, 2012, IEEE Transactions on Geoscience and Remote Sensing.

An Explicit and Scene-Adapted Definition of Convex Self-Similarity Prior With Application to Unsupervised Sentinel-2 Super-Resolution

Chia-Hsiang Lin, Jose M. Bioucas-Dias, J. Bioucas-Dias, 2020, IEEE Transactions on Geoscience and Remote Sensing.

Multi-frequency Phase Unwrapping from Noisy Data: Adaptive Local Maximum Likelihood Approach

Jaakko Astola, Karen O. Egiazarian, José M. Bioucas-Dias, 2009, SCIA.

Antenna Design and Near-Field Characterization for Medical Microwave Imaging Applications

José M. Bioucas-Dias, Carlos A. Fernandes, Jorge R. Costa, 2019, IEEE Transactions on Antennas and Propagation.

Hyperspectral Blind Reconstruction From Random Spectral Projections

José M. Bioucas-Dias, Gabriel Martín, J. Bioucas-Dias, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Fast Hyperspectral image Denoising based on low rank and sparse representations

José M. Bioucas-Dias, Lina Zhuang, J. Bioucas-Dias, 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Bayesian wavelet-based image deconvolution: a GEM algorithm exploiting a class of heavy-tailed priors

José M. Bioucas-Dias, J. Bioucas-Dias, 2006, IEEE Transactions on Image Processing.

SURE-Fuse WFF: A Multi-Resolution Windowed Fourier Analysis for Interferometric Phase Denoising

José M. Bioucas-Dias, Mário A. T. Figueiredo, Joshin P. Krishnan, 2018, IEEE Access.

Patch-based Interferometric Phase Estimation via Mixture of Gaussian Density Modelling & Non-local Averaging in the Complex Domain

José M. Bioucas-Dias, Joshin Krishnan, Joshin P. Krishnan, 2018, BMVC.

Hyperspectral Sharpening using Scene-adapted Gaussian Mixture Priors pdf

José M. Bioucas-Dias, Mário A. T. Figueiredo, Afonso M. Teodoro, 2017, ArXiv.

A Framework for Fast Image Deconvolution With Incomplete Observations

Jocelyn Chanussot, José M. Bioucas-Dias, Luís B. Almeida, 2016, IEEE Transactions on Image Processing.

Image Restoration Using Conditional Random Fields and Scale Mixtures of Gaussians pdf

José M. Bioucas-Dias, Mário A. T. Figueiredo, Milad Niknejad, 2018, ArXiv.

Landmine Detection Using Multispectral Images

José Silvestre Silva, José Bioucas-Dias, Ivo Fernando Linhas Guerra, 2019, IEEE Sensors Journal.

Improving point cloud to surface reconstruction with generalized Tikhonov regularization

José M. Bioucas-Dias, Nuno M. M. Rodrigues, Andre F. R. Guarda, 2017, 2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP).

Parametric Blur Estimation for Blind Restoration of Natural Images: Linear Motion and Out-of-Focus

José M. Bioucas-Dias, Mário A. T. Figueiredo, João Pedro Oliveira, 2014, IEEE Transactions on Image Processing.

Class-specific image denoising using importance sampling

José M. Bioucas-Dias, Mário A. T. Figueiredo, Milad Niknejad, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Class-specific poisson denoising by patch-based importance sampling

José M. Bioucas-Dias, Mário A. T. Figueiredo, Milad Niknejad, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Image restoration with locally selected class-adapted models

José M. Bioucas-Dias, Mário A. T. Figueiredo, Afonso M. Teodoro, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

Blind Estimation of Motion Blur Parameters for Image Deconvolution

José M. Bioucas-Dias, Mário A. T. Figueiredo, João Pedro Oliveira, 2007, IbPRIA.

Spectral partitioning for hyperspectral remote sensing image classification

Antonio J. Plaza, José M. Bioucas-Dias, Jun Li, 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

Compressive Single-pixel Fourier Transform Imaging Using Structured Illumination

José M. Bioucas-Dias, Laurent Jacques, Amirafshar Moshtaghpour, 2018, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Compressive Hyperspectral Imaging: Fourier Transform Interferometry meets Single Pixel Camera pdf

José M. Bioucas-Dias, Laurent Jacques, Amirafshar Moshtaghpour, 2018, ArXiv.

Spatial-spectral hyperspectral image compressive sensing

José M. Bioucas-Dias, Gabriel Martín, J. Bioucas-Dias, 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Hyperspectral compressive sensing from spectral projections

José M. Bioucas-Dias, Gabriel Martín, J. Bioucas-Dias, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

B-HYCA: Blind hyperspectral compressive sensing

Antonio J. Plaza, José M. Bioucas-Dias, Gabriel Martín, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Hyperspectral compressive acquisition in the spatial domain via blind factorization

José M. Bioucas-Dias, Gabriel Martín, J. Bioucas-Dias, 2015, 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Sharpening Hyperspectral Images Using Plug-and-Play Priors

José M. Bioucas-Dias, Mário A. T. Figueiredo, Afonso M. Teodoro, 2017, LVA/ICA.

Fast Image Recovery Using Variable Splitting and Constrained Optimization

Mário A. T. Figueiredo, J. Bioucas-Dias, M. Afonso, 2010, IEEE Transactions on Image Processing.

Image Restoration and Reconstruction using Targeted Plug-and-Play Priors

José M. Bioucas-Dias, Mário A. T. Figueiredo, Afonso M. Teodoro, 2019, IEEE Transactions on Computational Imaging.

An Extension of Averaged-Operator-Based algorithms

José M. Bioucas-Dias, Luís B. Almeida, Miguel Simões, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

Algorithms for imaging inverse problems under sparsity regularization

José M. Bioucas-Dias, Mário A. T. Figueiredo, J. Bioucas-Dias, 2012, 2012 3rd International Workshop on Cognitive Information Processing (CIP).

On the use of spectral libraries to perform sparse unmixing of hyperspectral data

Antonio J. Plaza, Marian-Daniel Iordache, José M. Bioucas-Dias, 2010, 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

A General Framework for Fast Image Deconvolution with Incomplete Observations. Applications to Unknown Boundaries, Inpainting, Superresolution, and Demosaicing pdf

Jocelyn Chanussot, José M. Bioucas-Dias, Luís B. Almeida, 2016, ArXiv.

Deconvolution of Poissonian images using variable splitting and augmented Lagrangian optimization

Mário A. T. Figueiredo, Jose M. Bioucas-Dias, Mario A. T. Figueiredo, 2009, 2009 IEEE/SP 15th Workshop on Statistical Signal Processing.

Semiblind Hyperspectral Unmixing in the Presence of Spectral Library Mismatches

José M. Bioucas-Dias, Wing-Kin Ma, Xiao Fu, 2015, IEEE Transactions on Geoscience and Remote Sensing.

A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing

Antonio J. Plaza, Paul D. Gader, Nicolas Gillis, 2014, IEEE Signal Processing Magazine.

Blind model-based fusion of multi-band and panchromatic images

Simon J. Godsill, Jean-Yves Tourneret, José M. Bioucas-Dias, 2016, 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI).

Blind hyperspectral unmixing

José M. Bioucas-Dias, José M. P. Nascimento, J. Bioucas-Dias, 2007, SPIE Remote Sensing.

Dependent Component Analysis: A Hyperspectral Unmixing Algorithm

José M. Bioucas-Dias, José M. P. Nascimento, J. Bioucas-Dias, 2007, IbPRIA.

Oil spill segmentation of SAR images via graph cuts

José M. Bioucas-Dias, Sónia Pelizzari, J. Bioucas-Dias, 2006, 2007 IEEE International Geoscience and Remote Sensing Symposium.

Semisupervised Hyperspectral Image Segmentation Using Multinomial Logistic Regression With Active Learning

A. Plaza, Jun Li, J. Bioucas-Dias, 2010, IEEE Transactions on Geoscience and Remote Sensing.

Fast Hyperspectral Unmixing in Presence of Nonlinearity or Mismodeling Effects

José M. Bioucas-Dias, Nicolas Dobigeon, Stephen McLaughlin, 2016, IEEE Transactions on Computational Imaging.

Hyperspectral image classification based on union of subspaces

Antonio J. Plaza, Jun Li, Mahdi Khodadadzadeh, 2015, 2015 Joint Urban Remote Sensing Event (JURSE).

Semi-supervised active learning for urban hyperspectral image classification

Antonio J. Plaza, José M. Bioucas-Dias, Jun Li, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

Supervised hyperspectral image segmentation using active learning

Antonio J. Plaza, José M. Bioucas-Dias, Jun Li, 2010, 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

New developments on VCA unmixing algorithm

José M. Bioucas-Dias, José M. P. Nascimento, J. Bioucas-Dias, 2008, Remote Sensing.

Estimation of signal subspace on hyperspectral data

José M. Bioucas-Dias, José M. P. Nascimento, J. Bioucas-Dias, 2005, SPIE Remote Sensing.

On the use of collaborative sparse regression in hyperspectral unmixing chains

Antonio J. Plaza, Ben Somers, Marian-Daniel Iordache, 2014, 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Vertex Component Analysis: A~Fast Algorithm to Extract Endmembers Spectra from Hyperspectral Data

José M. Bioucas-Dias, José M. P. Nascimento, J. Bioucas-Dias, 2003, IbPRIA.

A Signal Processing Perspective on Hyperspectral Unmixing

Paul D. Gader, Nicolas Gillis, Wing-Kin Ma, 2014 .

Feature Selection in Regression Tasks Using Conditional Mutual Information

Filiberto Pla, José Martínez Sotoca, José M. Bioucas-Dias, 2011, IbPRIA.

Hyperspectral image denoising based on global and non-local low-rank factorizations

José M. Bioucas-Dias, Lina Zhuang, J. Bioucas-Dias, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Nonlinear hyperspectral unmixing accounting for spatial illumination variability

Paul Honeine, José M. Bioucas-Dias, Gerald S. Buller, 2016, 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Greedy algorithms for pure pixels identification in hyperspectral unmixing: A multiple-measurement vector viewpoint

Marian-Daniel Iordache, José M. Bioucas-Dias, Wing-Kin Ma, 2013, 21st European Signal Processing Conference (EUSIPCO 2013).

Semi-supervised hyperspectral image segmentation

A. Plaza, Jun Li, J. Bioucas-Dias, 2009, 2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing.

Semi-supervised hyperspectral classification using active label selection

Jun Li, Antonio Plaza, José Bioucas-Dias, 2009, Remote Sensing.

Semi-supervised hyperspectral image classification based on a Markov random field and sparse multinomial logistic regression

Antonio J. Plaza, José M. Bioucas-Dias, Jun Li, 2009, 2009 IEEE International Geoscience and Remote Sensing Symposium.

Signal Subspace Identification in Hyperspectral Linear Mixtures

José M. Bioucas-Dias, José M. P. Nascimento, J. Bioucas-Dias, 2005, IbPRIA.

Majorization–Minimization Algorithms for Wavelet-Based Image Restoration

Mário A. T. Figueiredo, J. Bioucas-Dias, Robert D. Nowak, 2007, IEEE Transactions on Image Processing.

A Dynamic Unmixing Framework for Plant Production System Monitoring

Antonio J. Plaza, Laurent Tits, Ben Somers, 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Foreword to the Special Issue on Spectral Unmixing of Remotely Sensed Data

J. Bioucas-Dias, Antonio J. Plaza, Qian Du, 2011, IEEE Trans. Geosci. Remote. Sens..

Matrix Cofactorization for Joint Representation Learning and Supervised Classification - Application to Hyperspectral Image Analysis

José M. Bioucas-Dias, Nicolas Dobigeon, Mathieu Fauvel, 2019, Neurocomputing.

Collaborative sparse regression using spatially correlated supports - Application to hyperspectral unmixing

J. Bioucas-Dias, Y. Altmann, M. Pereyra, 2014, IEEE Transactions on Image Processing.

Source localization from time-differences of arrival using high-frequency communication signals

Jose M. Bioucas-Dias, Joao Gomes, Ehsan Zamanizadeh, 2011, OCEANS'11 MTS/IEEE KONA.

The ZπM algorithm: a method for interferometric image reconstruction in SAR/SAS

J. Bioucas-Dias, J. Leitão, 2002, IEEE Trans. Image Process..

A robust subspace method for semiblind dictionary-aided hyperspectral unmixing

José M. Bioucas-Dias, Wing-Kin Ma, Xiao Fu, 2014, 2014 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

HYPERSPECTRAL IMAGE CLASSIFICATION BASED ON A FAST BREGMAN SPARSE MULTINOMIAL LOGISTIC REGRESSION ALGORITHM

Antonio Plaza, J. Bioucas-Dias, A. Plaza, 2009 .

Fast hyperspectral unmixing in presence of sparse multiple scattering nonlinearities

José M. Bioucas-Dias, Nicolas Dobigeon, Gerald S. Buller, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Robust hyperspectral unmixing accounting for residual components

Paul Honeine, José M. Bioucas-Dias, Abderrahim Halimi, 2016, 2016 IEEE Statistical Signal Processing Workshop (SSP).

Linear spectral unmixing using collaborative sparse regression and correlated supports

José M. Bioucas-Dias, Yoann Altmann, Marcelo Pereyra, 2015, 2015 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Fast Spectral Unmixing based on Dykstra's Alternating Projection pdf

Jean-Yves Tourneret, José M. Bioucas-Dias, Nicolas Dobigeon, 2015, ArXiv.

Efficient computation of tr{TR-1} for Toeplitz matrices

José M. N. Leitão, José M. Bioucas-Dias, J. Bioucas-Dias, 2002, IEEE Signal Processing Letters.

Frame-based deconvolution of Poissonian images using alternating direction optimization

José M. Bioucas-Dias, Mário A. T. Figueiredo, J. Bioucas-Dias, 2010, 2010 IEEE International Conference on Image Processing.

Restoration of Poissonian Images Using Alternating Direction Optimization

Mário A. T. Figueiredo, J. Bioucas-Dias, 2010, IEEE Transactions on Image Processing.

Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization

Mário A. T. Figueiredo, J. Bioucas-Dias, 2009, IEEE Transactions on Image Processing.

Image Denoising with Compound Regularization Using a Bregman Iterative Algorithm

Mário A. T. Figueiredo, J. Bioucas-Dias, M. Afonso, 2009 .

Hyperspectral super-resolution of locally low rank images from complementary multisource data

J. Bioucas-Dias, J. Chanussot, G. Licciardi, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Hyperspectral band selection using a collaborative sparse model

Antonio J. Plaza, José M. Bioucas-Dias, Qian Du, 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.