José M. Bioucas-Dias - researchr alias

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Viewing Publication 1 - 100 from 236

2022

Adaptive Hyperspectral Mixed Noise RemovalTai-Xiang Jiang, Lina Zhuang, Ting-Zhu Huang, Xi-Le Zhao, José M. Bioucas-Dias. tgrs, 60:1-13, 2022. [doi]

Maritime Unmanned Systems and JANUS in Support to Distressed Submarine Search & Rescue: The REPMUS21 ExperienceRoberto Petroccia, Gabriele Ferri 0002, Pietro Stinco, Alessandra Tesei, Stefano Fioravanti, Thomas C. Furfaro, João Alves 0002, Andrea Molaschi, José M. Bioucas-Dias, Paulo Sousa Dias, João Borges de Sousa. milcom 2022: 241-246 [doi]

Hyperspectral Image Denoising and Anomaly Detection Based on Low-Rank and Sparse RepresentationsLina Zhuang, LianRu Gao, Bing Zhang 0001, Xiyou Fu, José M. Bioucas-Dias. tgrs, 60:1-17, 2022. [doi]

Hy-Demosaicing: Hyperspectral Blind Reconstruction From Spectral SubsamplingLina Zhuang, Michael K. Ng, Xiyou Fu, José M. Bioucas-Dias. tgrs, 60:1-15, 2022. [doi]

2021

2020

Nonlocal Sparse Tensor Factorization for Semiblind Hyperspectral and Multispectral Image FusionRenwei Dian, Shutao Li, Leyuan Fang, Ting Lu, José M. Bioucas-Dias. tcyb, 50(10):4469-4480, 2020. [doi]

Microwave Breast Imaging Using a Dry SetupJoão M. Felício, José M. Bioucas-Dias, Jorge R. Costa, Carlos A. C. Fernandes. tci, 6:167-180, 2020. [doi]

Robust Restoration of Sparse Multidimensional Single-Photon LiDAR ImagesAbderrahim Halimi, Rachael Tobin, Aongus McCarthy, José M. Bioucas-Dias, Steve McLaughlin 0001, Gerald S. Buller. tci, 6:138-152, 2020. [doi]

Class-Specific Interferometric Phase Estimation Using Patch-Based Importance SamplingJoshin Krishnan, Mário A. T. Figueiredo, José M. Bioucas-Dias. access, 8:161052-161066, 2020. [doi]

Matrix cofactorization for joint representation learning and supervised classification - Application to hyperspectral image analysisAdrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon. ijon, 385:132-147, 2020. [doi]

An Explicit and Scene-Adapted Definition of Convex Self-Similarity Prior With Application to Unsupervised Sentinel-2 Super-ResolutionChia-Hsiang Lin, José M. Bioucas-Dias. tgrs, 58(5):3352-3365, 2020. [doi]

A New Hyperspectral Compressed Sensing Method for Efficient Satellite CommunicationsChia-Hsiang Lin, José M. Bioucas-Dias, Tzu-Hsuan Lin, Yen-Cheng Lin, Chi-Hung Kao. ieeesam 2020: 1-5 [doi]

Close Encounters of the Binary Kind: Signal Reconstruction Guarantees for Compressive Hadamard Sampling With Haar Wavelet BasisAmirafshar Moshtaghpour, José M. Bioucas-Dias, Laurent Jacques. TIT, 66(11):7253-7273, 2020. [doi]

2019

SURE-Fuse WFF: A Multi-Resolution Windowed Fourier Analysis for Interferometric Phase DenoisingJoshin Krishnan, Mário A. T. Figueiredo, José M. Bioucas-Dias. access, 7:120708-120723, 2019. [doi]

Matrix Cofactorization for Joint Unmixing and Classification of Hyperspectral ImagesAdrien Lagrange, Mathieu Fauvel, Stéphane May, José M. Bioucas-Dias, Nicolas Dobigeon. eusipco 2019: 1-5 [doi]

Compressive Single-pixel Fourier Transform Imaging Using Structured IlluminationAmirafshar Moshtaghpour, José M. Bioucas-Dias, L. Jacques. icassp 2019: 7810-7814 [doi]

External Patch-Based Image Restoration Using Importance SamplingMilad Niknejad, José M. Bioucas-Dias, Mário A. T. Figueiredo. TIP, 28(9):4460-4470, 2019. [doi]

A Novel Sharpening Approach for Superresolving Multiresolution Optical ImagesClaudia Paris, José M. Bioucas-Dias, Lorenzo Bruzzone. tgrs, 57(3):1545-1560, 2019. [doi]

Image Restoration and Reconstruction using Targeted Plug-and-Play PriorsAfonso M. Teodoro, José M. Bioucas-Dias, Mário A. T. Figueiredo. tci, 5(4):675-686, 2019. [doi]

A Convergent Image Fusion Algorithm Using Scene-Adapted Gaussian-Mixture-Based DenoisingAfonso M. Teodoro, José M. Bioucas-Dias, Mário A. T. Figueiredo. TIP, 28(1):451-463, 2019. [doi]

Panchromatic Sharpening of Multispectral Satellite Imagery Via an Explicitly Defined Convex Self-Similarity RegularizationChia-Hsiang Wang, Chia-Hsiang Lin, José M. Bioucas-Dias, Wei-Cheng Zheng, Kuo-Hsin Tseng. igarss 2019: 3129-3132 [doi]

Regularization Parameter Selection in Minimum Volume Hyperspectral UnmixingLina Zhuang, Chia-Hsiang Lin, Mário A. T. Figueiredo, José M. Bioucas-Dias. tgrs, 57(12):9858-9877, 2019. [doi]

2018

Hyperspectral Image Super-Resolution via Local Low-Rank and Sparse RepresentationsRenwei Dian, Shutao Li, Leyuan Fang, José M. Bioucas-Dias. igarss 2018: 4003-4006 [doi]

Restoration of Multilayered Single-Photon 3D Lidar ImagesAbderrahim Halimi, José M. Bioucas-Dias, Ximing Ren, Stephen McLaughlin, Aongus McCarthy, Gerald S. Buller. ieeesam 2018: 642-646 [doi]

Adaptive Hyperspectral Mixed Noise RemovalTai-Xiang Jiang, Lina Zhuang, Ting-Zhu Huang, José M. Bioucas-Dias. igarss 2018: 4035-4038 [doi]

Dictionary Learning Phase Retrieval from Noisy Diffraction PatternsJoshin Krishnan, José M. Bioucas-Dias, Vladimir Katkovnik. sensors, 18(11):4006, 2018. [doi]

Linear Spectral Unmixing via Matrix Factorization: Identifiability Criteria for Sparse AbundancesChia-Hsiang Lin, José M. Bioucas-Dias. igarss 2018: 6155-6158 [doi]

New Theory for Unmixing ILL-Conditioned Hyperspectral MixturesChia-Hsiang Lin, José M. Bioucas-Dias. ieeesam 2018: 430-434 [doi]

Provably and Roubst Blind Source Seperation of Ill-Conditioned Hyperspectral MixturesChia-Hsiang Lind, José M. Bioucas-Dias. gacm 2018: 333-337 [doi]

Convex Formulation for Multiband Image Classification With Superpixel-Based Spatial RegularizationYi Liu, Filipe Condessa, José M. Bioucas-Dias, Jun Li 0009, Peijun Du, Antonio Plaza. tgrs, 56(5):2704-2721, 2018. [doi]

Foreword to the Special Issue on Quality Improvements of Remote Sensing DataHuanfeng Shen, Xiuping Jia, José M. Bioucas-Dias, Nicolas Dobigeon, Yi Cui, Fabio Pacifici. staeors, 11(3):687-690, 2018. [doi]

An Extension of Averaged-Operator-Based algorithmsMiguel Simões, José M. Bioucas-Dias, Luís B. Almeida. eusipco 2018: 752-756 [doi]

Hy-Demosaicing: Hyperspectral Blind Reconstruction from Spectral SubsamplingLina Zhuang, José M. Bioucas-Dias. igarss 2018: 4015-4018 [doi]

Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse RepresentationsLina Zhuang, José M. Bioucas-Dias. staeors, 11(3):730-742, 2018. [doi]

2017

Performance measures for classification systems with rejectionFilipe Condessa, José M. Bioucas-Dias, Jelena Kovacevic. PR, 63:437-450, 2017. [doi]

A New Low-Rank Representation Based Hyperspectral Image Denoising Method for Mineral MappingLianRu Gao, Dan Yao, Qingting Li, Lina Zhuang, Bing Zhang, José M. Bioucas-Dias. remotesensing, 9(11):1145, 2017. [doi]

Improving point cloud to surface reconstruction with generalized Tikhonov regularizationAndre F. R. Guarda, José M. Bioucas-Dias, Nuno M. M. Rodrigues, Fernando Pereira. mmsp 2017: 1-6 [doi]

Fast hyperspectral unmixing in presence of sparse multiple scattering nonlinearitiesAbderrahim Halimi, José M. Bioucas-Dias, Nicolas Dobigeon, Gerald S. Buller, Steve McLaughlin. icassp 2017: 3111-3115 [doi]

Fast Hyperspectral Unmixing in Presence of Nonlinearity or Mismodeling EffectsAbderrahim Halimi, José M. Bioucas-Dias, Nicolas Dobigeon, Gerald S. Buller, Stephen McLaughlin 0003. tci, 3(2):146-159, 2017. [doi]

Patch-based Interferometric Phase Estimation via Mixture of Gaussian Density Modelling & Non-local Averaging in the Complex DomainJoshin Krishnan, José M. Bioucas-Dias. bmvc 2017: [doi]

Super-Resolution of Multispectral Multiresolution Images from a Single SensorCharis Lanaras, José M. Bioucas-Dias, Emmanuel Baltsavias, Konrad Schindler. cvpr 2017: 1505-1513 [doi]

Hyperspectral cloud shadow removal based on linear unmixingYi Liu, José M. Bioucas-Dias, Jun Li, Antonio Plaza. igarss 2017: 1000-1003 [doi]

Multi-superpixelization-based convex formulation for joint classification of hyperspectral and lidar dataYi Liu, José M. Bioucas-Dias, Jun Li, Antonio Plaza. igarss 2017: 807-810 [doi]

Spatial-spectral hyperspectral image compressive sensingGabriel Martín, José M. Bioucas-Dias. igarss 2017: 3988-3991 [doi]

Class-specific poisson denoising by patch-based importance samplingMilad Niknejad, José M. Bioucas-Dias, Mário A. T. Figueiredo. icip 2017: 1247-1251 [doi]

Class-specific image denoising using importance samplingMilad Niknejad, José M. Bioucas-Dias, Mário A. T. Figueiredo. icip 2017: 1242-1246 [doi]

A hierarchical approach to superresolution of multispectral images with different spatial resolutionsClaudia Paris, José M. Bioucas-Dias, Lorenzo Bruzzone. igarss 2017: 2589-2592 [doi]

Sparse Distributed Multitemporal Hyperspectral UnmixingJakob Sigurdsson, Magnus O. Ulfarsson, Johannes R. Sveinsson, José M. Bioucas-Dias. tgrs, 55(11):6069-6084, 2017. [doi]

A new classification-oriented endmember extraction and sparse unmixing approach for hyperspectral dataYanli Sun, José M. Bioucas-Dias, Xia Zhang, Yi Liu, Antonio Plaza. igarss 2017: 3644-3647 [doi]

Sharpening Hyperspectral Images Using Plug-and-Play PriorsAfonso M. Teodoro, José M. Bioucas-Dias, Mário A. T. Figueiredo. ica 2017: 392-402 [doi]

Scene-Adapted plug-and-play algorithm with convergence guaranteesAfonso M. Teodoro, José M. Bioucas-Dias, Mário A. T. Figueiredo. mlsp 2017: 1-6 [doi]

Sharpening Hyperspectral Images Using Spatial and Spectral Priors in a Plug-and-Play AlgorithmAfonso M. Teodoro, José M. Bioucas-Dias, Mário A. T. Figueiredo. emmcvpr 2018: 358-371 [doi]

Hyperspectral image inpainting based on low-rank representation: A case study on Tiangong-1 dataDan Yao, Lina Zhuang, LianRu Gao, Bing Zhang, José M. Bioucas-Dias. igarss 2017: 3409-3412 [doi]

Hyperspectral image denoising based on global and non-local low-rank factorizationsLina Zhuang, José M. Bioucas-Dias. icip 2017: 1900-1904 [doi]

2016

A Discontinuity Preserving Relaxation Scheme for Spectral-Spatial Hyperspectral Image ClassificationJun Li 0009, Mahdi Khodadadzadeh, Antonio Plaza, Xiuping Jia, José M. Bioucas-Dias. staeors, 9(2):625-639, 2016. [doi]

Parallel Hyperspectral Coded Aperture for Compressive Sensing on GPUsSergio Bernabé, Gabriel Martín, José M. P. Nascimento, José M. Bioucas-Dias, Antonio Plaza, Vítor Silva 0001. staeors, 9(2):932-944, 2016. [doi]

Bayesian image segmentation using hidden fields: Supervised, unsupervised, and semi-supervised formulationsJosé M. Bioucas-Dias, Mário A. T. Figueiredo. eusipco 2016: 523-527 [doi]

Supervised Hyperspectral Image Classification With RejectionFilipe Condessa, José M. Bioucas-Dias, Jelena Kovacevic. staeors, 9(6):2321-2332, 2016. [doi]

Semiblind Hyperspectral Unmixing in the Presence of Spectral Library MismatchesXiao Fu, Wing-Kin Ma, José M. Bioucas-Dias, Tsung-Han Chan. tgrs, 54(9):5171-5184, 2016. [doi]

Hyperspectral Unmixing in Presence of Endmember Variability, Nonlinearity, or Mismodeling EffectsAbderrahim Halimi, Paul Honeine, José M. Bioucas-Dias. TIP, 25(10):4565-4579, 2016. [doi]

Nonlinear hyperspectral unmixing accounting for spatial illumination variabilityAbderrahim Halimi, Paul Honeine, José M. Bioucas-Dias, Gerald S. Buller, Steve McLaughlin. whispers 2016: 1-5 [doi]

Robust hyperspectral unmixing accounting for residual componentsAbderrahim Halimi, Paul Honeine, José M. Bioucas-Dias. gacm 2016: 1-5 [doi]

Uncertainty propagation from atmospheric parameters to sparse hyperspectral unmixingMarian-Daniel Iordache, Nitin Bhatia, José M. Bioucas-Dias, Antonio J. Plaza. igarss 2016: 6133-6136 [doi]

Robust Collaborative Nonnegative Matrix Factorization for Hyperspectral UnmixingJun Li, José M. Bioucas-Dias, Antonio J. Plaza, Lin Liu. tgrs, 54(10):6076-6090, 2016. [doi]

Convex formulation for hyperspectral image classification with superpixelsYi Liu, Filipe Condessa, José M. Bioucas-Dias, Jun Li, Antonio J. Plaza. igarss 2016: 3294-3297 [doi]

Hyperspectral Blind Reconstruction From Random Spectral ProjectionsGabriel Martín, José M. Bioucas-Dias. staeors, 9(6):2390-2399, 2016. [doi]

Hyperspectral image reconstruction from random projections on GPUJorge Sevilla, Gabriel Martín, José M. P. Nascimento, José M. Bioucas-Dias. igarss 2016: 280-283 [doi]

Sparse distributed hyperspectral unmixingJakob Sigurdsson, Magnus O. Ulfarsson, Johannes R. Sveinsson, José M. Bioucas-Dias. igarss 2016: 6994-6997 [doi]

A Framework for Fast Image Deconvolution With Incomplete ObservationsMiguel Simões, Luís B. Almeida, José M. Bioucas-Dias, Jocelyn Chanussot. TIP, 25(11):5266-5280, 2016. [doi]

Image restoration with locally selected class-adapted modelsAfonso M. Teodoro, José M. Bioucas-Dias, Mário A. T. Figueiredo. mlsp 2016: 1-6 [doi]

Image restoration and reconstruction using variable splitting and class-adapted image priorsAfonso M. Teodoro, José M. Bioucas-Dias, Mário A. T. Figueiredo. icip 2016: 3518-3522 [doi]

Hyperspectral Super-Resolution of Locally Low Rank Images From Complementary Multisource DataMiguel Angel Veganzones, Miguel Simões, Giorgio Licciardi, Naoto Yokoya, José M. Bioucas-Dias, Jocelyn Chanussot. TIP, 25(1):274-288, 2016. [doi]

Blind model-based fusion of multi-band and panchromatic imagesQi Wei, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret, Simon J. Godsill. mfi 2016: 21-25 [doi]

High-resolution hyperspectral image fusion based on spectral unmixingQi Wei, Simon J. Godsill, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret. fusion 2016: 1714-1719 [doi]

Multiband Image Fusion Based on Spectral UnmixingQi Wei, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret, Marcus Chen, Simon J. Godsill. tgrs, 54(12):7236-7249, 2016. [doi]

R-FUSE: Robust Fast Fusion of Multiband Images Based on Solving a Sylvester EquationQi Wei, Nicolas Dobigeon, Jean-Yves Tourneret, José M. Bioucas-Dias, Simon J. Godsill. spl, 23(11):1632-1636, 2016. [doi]

Fast Hyperspectral image Denoising based on low rank and sparse representationsLina Zhuang, José M. Bioucas-Dias. igarss 2016: 1847-1850 [doi]

2015

Robust collaborative nonnegative matrix factorization for hyperspectra unmixing (R-CONMF)Jun Li 0009, José M. Bioucas-Dias, Antonio Plaza, Lin Liu. whispers 2015: 1-4 [doi]

Linear spectral unmixing using collaborative sparse regression and correlated supportsYoann Altmann, Marcelo Pereyra, José M. Bioucas-Dias. whispers 2015: 1-4 [doi]

Collaborative sparse regression using spatially correlated supports - Application to hyperspectral unmixingYoann Altmann, Marcelo Pereyra, José M. Bioucas-Dias. TIP, 24(12):5800-5811, 2015. [doi]

GPU implementation of a hyperspectral coded aperture algorithm for compressive sensingSergio Bernabe, Gabriel Martin, José M. P. Nascimento, José M. Bioucas-Dias, Antonio J. Plaza, Vitor Silva. igarss 2015: 521-524 [doi]

A fast parallel hyperspectral coded aperture algorithm for compressive sensing using OpenCLSergio Bernabe, Gabriel Martin, José M. P. Nascimento, José M. Bioucas-Dias, Antonio J. Plaza, Guillermo Botella, Manuel Prieto-Matías. eurocon 2015: 1-6 [doi]

GPU implementation of a constrained hyperspectral coded aperture algorithm for compressive sensingSergio Bernabé, Gabriel Martín, José M. P. Nascimento, José M. Bioucas-Dias, Antonio Plaza, Vítor Silva 0001. whispers 2015: 1-4 [doi]

Hyperspectral Remote Sensing Data AnalysisJosé M. Bioucas-Dias. gistam 2015:

Supervised hyperspectral image classification with rejectionFilipe Condessa, José M. Bioucas-Dias, Jelena Kovacevic. igarss 2015: 2600-2603 [doi]

SegSALSA-STR: A convex formulation to supervised hyperspectral image segmentation using hidden fields and structure tensor regularizationFilipe Condessa, José M. Bioucas-Dias, Jelena Kovacevic. whispers 2015: 1-4 [doi]

Robust hyperspectral image classification with rejection fieldsFilipe Condessa, José M. Bioucas-Dias, Jelena Kovacevic. whispers 2015: 1-4 [doi]

Self-Dictionary Sparse Regression for Hyperspectral Unmixing: Greedy Pursuit and Pure Pixel Search Are RelatedXiao Fu, Wing-Kin Ma, Tsung-Han Chan, José M. Bioucas-Dias. jstsp, 9(6):1128-1141, 2015. [doi]

Interferometric Phase Image Estimation via Sparse Coding in the Complex DomainHao Hongxing, José M. Bioucas-Dias, Vladimir Katkovnik. tgrs, 53(5):2587-2602, 2015. [doi]

Potential and limitations of band selection and library pruning in sparse hyperspectral unmixingMarian-Daniel Iordache, José M. Bioucas-Dias, Antonio Plaza. whispers 2015: 1-4 [doi]

Hyperspectral image classification based on union of subspacesMahdi Khodadadzadeh, Jun Li 0009, Antonio Plaza, José M. Bioucas-Dias. jurse 2015: 1-4 [doi]

Hyperspectral compressive sensing from spectral projectionsGabriel Martin, José M. Bioucas-Dias. igarss 2015: 1000-1003 [doi]

HYCA: A New Technique for Hyperspectral Compressive SensingGabriel Martin, José M. Bioucas-Dias, Antonio J. Plaza. tgrs, 53(5):2819-2831, 2015. [doi]

B-HYCA: Blind hyperspectral compressive sensingGabriel Martin, José M. Bioucas-Dias, Antonio J. Plaza. igarss 2015: 2856-2859 [doi]

Hyperspectral compressive acquisition in the spatial domain via blind factorizationGabriel Martín, José M. Bioucas-Dias. whispers 2015: 1-4 [doi]

Maximum-a-posteriori estimation with unknown regularisation parametersMarcelo Pereyra, José M. Bioucas-Dias, Mário A. T. Figueiredo. eusipco 2015: 230-234 [doi]

Hyperspectral and Multispectral Image Fusion Based on a Sparse RepresentationQi Wei, José M. Bioucas-Dias, Nicolas Dobigeon, Jean-Yves Tourneret. tgrs, 53(7):3658-3668, 2015. [doi]

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