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Jose M. Bioucas-Dias

Jose M. Bioucas-Dias

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Computer Science
Portugal
2025

D-Index & Metrics

Computer Science

D-Index
79
Citations
40253
World Ranking
1119
National Ranking
1

Research.com Recognitions

  • 2025 - Research.com Computer Science in Portugal Leader Award
  • 2023 - Research.com Computer Science in Portugal Leader Award
  • 2022 - Research.com Computer Science in Portugal Leader Award

Overview

Jose M. Bioucas-Dias was affiliated with Instituto Superior Técnico in Portugal. Their research spanned several interdisciplinary fields, primarily centered on engineering, computer science, and medicine. The scientist's work contributed notably to subfields such as media technology, computer vision and pattern recognition, computational mechanics, biomedical engineering, and signal processing.

Their scholarly output included focus areas encompassing remote-sensing image classification, image and signal denoising methods, advanced image fusion techniques, sparse and compressive sensing techniques, blind source separation techniques, spectroscopy and chemometric analyses, and remote sensing and land use.

Frequent coauthors collaborated with Jose M. Bioucas-Dias on various publications, including Lina Zhuang, Xiyou Fu, Michael K. Ng, Mário A. T. Figueiredo, and Sérgio G Pinto.

The scientist published regularly in notable venues, with multiple papers appearing in the IEEE Transactions on Geoscience and Remote Sensing, Cureus, IEEE Transactions on Neural Networks and Learning Systems, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, and IEEE Multimedia.

Selected recent papers included:

  • Hyperspectral Image Denoising Based on Global and Nonlocal Low-Rank Factorizations, 2021, IEEE Transactions on Geoscience and Remote Sensing
  • Adaptive Hyperspectral Mixed Noise Removal, 2021, IEEE Transactions on Geoscience and Remote Sensing
  • Hy-Demosaicing: Hyperspectral Blind Reconstruction From Spectral Subsampling, 2021, IEEE Transactions on Geoscience and Remote Sensing
  • Nonnegative Blind Source Separation for Ill-Conditioned Mixtures via John Ellipsoid, 2020, IEEE Transactions on Neural Networks and Learning Systems
  • Block-Gaussian-Mixture Priors for Hyperspectral Denoising and Inpainting, 2020, IEEE Transactions on Geoscience and Remote Sensing

Best Publications

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

    J. M. Bioucas-Dias;A. Plaza;N. Dobigeon;M. Parente

  • Vertex component analysis: a fast algorithm to unmix hyperspectral data

    Unknown

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

    J.M. Bioucas-Dias;M.A.T. Figueiredo

  • Hyperspectral Remote Sensing Data Analysis and Future Challenges

    J. M. Bioucas-Dias;A. Plaza;G. Camps-Valls;P. Scheunders

  • Fast Image Recovery Using Variable Splitting and Constrained Optimization

    Manya V Afonso;José M Bioucas-Dias;Mário A T Figueiredo

  • Hyperspectral Subspace Identification

    J.M. Bioucas-Dias;J.M.P. Nascimento

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

    M V Afonso;José M Bioucas-Dias;Mário A T Figueiredo

  • Sparse Unmixing of Hyperspectral Data

    Marian-Daniel Iordache;J M Bioucas-Dias;A Plaza

  • Hyperspectral Pansharpening: A Review

    Laetitia Loncan;Luis B. de Almeida;Jose M. Bioucas-Dias;Xavier Briottet

  • Total Variation Spatial Regularization for Sparse Hyperspectral Unmixing

    M.-D Iordache;J. M. Bioucas-Dias;A. Plaza

  • Spectral–Spatial Hyperspectral Image Segmentation Using Subspace Multinomial Logistic Regression and Markov Random Fields

    Jun Li;J. M. Bioucas-Dias;A. Plaza

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

    Miguel Simoes;Jose Bioucas-Dias;Luis B. Almeida;Jocelyn Chanussot

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

    Jose M. Bioucas-Dias;Mario A. T. Figueiredo

  • Phase Unwrapping via Graph Cuts

    J.M. Bioucas-Dias;G. Valadao

  • Hyperspectral and Multispectral Image Fusion Based on a Sparse Representation

    Qi Wei;Jose Bioucas-Dias;Nicolas Dobigeon;Jean-Yves Tourneret

  • Majorization–Minimization Algorithms for Wavelet-Based Image Restoration

    M.A.T. Figueiredo;J.M. Bioucas-Dias;R.D. Nowak

  • Semisupervised Hyperspectral Image Segmentation Using Multinomial Logistic Regression With Active Learning

    Jun Li;José M Bioucas-Dias;Antonio Plaza

  • Generalized Composite Kernel Framework for Hyperspectral Image Classification

    Jun Li;Prashanth Reddy Marpu;Antonio Plaza;Jose M. Bioucas-Dias

  • Collaborative Sparse Regression for Hyperspectral Unmixing

    Marian-Daniel Iordache;Jose M. Bioucas-Dias;Antonio Plaza

  • Restoration of Poissonian Images Using Alternating Direction Optimization

    M A T Figueiredo;J M Bioucas-Dias

  • Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization

    Shutao Li;Renwei Dian;Leyuan Fang;José M. Bioucas-Dias

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

    Wing-Kin Ma;Jose M. Bioucas-Dias;Tsung-Han Chan;Nicolas Gillis

  • A variable splitting augmented Lagrangian approach to linear spectral unmixing

    Jose M. Bioucas-Dias

Frequent Co-Authors

Antonio Plaza
Antonio Plaza University of Extremadura
Mário A. T. Figueiredo
Mário A. T. Figueiredo Instituto Superior Técnico
Nicolas Dobigeon
Nicolas Dobigeon National Polytechnic Institute of Toulouse
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Jelena Kovacevic
Jelena Kovacevic New York University
Jean-Yves Tourneret
Jean-Yves Tourneret National Polytechnic Institute of Toulouse
Vladimir Katkovnik
Vladimir Katkovnik Tampere University
Gerald S. Buller
Gerald S. Buller Heriot-Watt University
Wing-Kin Ma
Wing-Kin Ma Chinese University of Hong Kong
Paul D. Gader
Paul D. Gader University of Florida

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