Creating and sharing knowledge for telecommunications
... José Manuel Peixoto do Nascimento

Researcher

José Nascimento

Academic position: Assistant Professor
Joining date: 01-11-2000
Roles in IT: Researcher
Thematic Line: Information and Data Sciences
Group: Pattern and Image Analysis – Lx

Email: Send Email
Address: IT – Lisboa
Instituto Superior Técnico - Torre Norte - Piso 10
Av. Rovisco Pais, 1
1049 - 001 Lisboa
Tel: +351 21 841 84 54
Fax: +351 21 841 84 72

Alternative Personal Web Page


Scientific Achievements

  • PhD, Instituto Superior Técnico, 22-12-2006
  • MSc, Instituto Superior Técnico, 02-02-2000
  • Licenciatura, Instituto Superior de Engenharia de Lisboa, 28-09-1995
  • Instituto Superior de Engenharia de Lisboa, 01-10-1995, Professor Adjunto
  • Remote Sensing
  • Signal and Image Processing
  • Hyperspectral Imagery
  • High Performance Computing (GPU)
As Supervisor
As Supervisor
  • J. Nascimento, G. Martin Martin, Nonlinear Spectral Unmixing, Chapter in, Hyperspectral Imaging, Jose Manuel Amigo, Elsevier Science, -, 2019
  • G. Martin Martin, J. Nascimento, J. Bioucas-Dias, 14 - Parallel coded aperture method for hyperspectral compressive sensing on GPU, Chapter in, Compressive Sensing of Earth Observations, C.H. Chen, Taylor & Francis, -, 2017
  • J. Nascimento, J. Bioucas-Dias, Hyperspectral Imagery Framework for Unmixing and Dimensionality Estimation, Chapter in, Pattern Recognition - Applications and Methods, Pedro Latorre Carmona, J. Salvador Sánchez, Ana L.N. Fred, Elsevier Science, 2013
  • J. Nascimento, J. Bioucas-Dias, Signal Subspace Identification in Hyperspecral Imagery, Chapter in, Signal and Image Processing for Remote Sensing, C.H. Chen, CRC Press, 2012
  • J. Nascimento, J. Bioucas-Dias, Unmixing Hyperspectral Data: Independent and Dependent Component Analysis, Chapter in, Hyperspectral Data Exploitation: Theory and Applications, Chein-I Chang, John Wiley & Sons, 2007
  • J. Bioucas-Dias, J. Nascimento, Vertex component analysis: a geometric-based approach to unmix hyperspectral data, Chapter in, Hyperspectral Data Exploitation: Theory and Applications, Chein-I Chang, John Wiley & Sons, 2006
  • H. Harkat, J. Nascimento, A. Bernardino Bernardino, H. Ahmed, Fire images classification based on a handcraft approach, Expert Systems with Applications, Vol. 212, No. 0, pp. 118594 - 118594, August, 2022,
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  • H. Harkat, J. Nascimento, A. Bernardino Bernardino, H. Ahmed, Assessing the Impact of the Loss Function and Encoder Architecture for Fire Aerial Images Segmentation Using Deeplabv3+, Remote Sensing, Vol. 14, No. 9, pp. 2023 - 2023, April, 2022,
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  • J. Nascimento, M. Véstias, G. Martin Martin, Hyperspectral Compressive Sensing with a System-On-Chip FPGA, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 13, No. -, pp. 3701 - 3710, July, 2020,
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  • J. Cedillo, G. Martin Martin, J. Nascimento, Parallel Hyperspectral Unmixing Method via Split Augmented Lagrangian on GPU, IEEE Geoscience and Remote Sensing Letters, Vol. 13, No. 5, pp. 626 - 630, March, 2016,
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  • J. Nascimento, M. Véstias, System-on-chip field programmable gate array design for onboard real-time hyperspectral unmixing, Journal of Applied Remote Sensing, Vol. 10, No. 1, pp. 1 - 17, January, 2016,
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  • S. B. G. Garcia, G. Martin Martin, J. Nascimento, J. Bioucas-Dias, V. Silva, Parallel Hyperspectral Coded Aperture for Compressive Sensing on GPUs, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 9, No. 2, pp. 932 - 944, May, 2015,
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  • A. Cigarro Matos, J. Nascimento, A. Lourenço, Embedded System for Individual Recognition Based on ECG Biometrics, Procedia Technology, Vol. 17, No. -, pp. 265 - 272, September, 2014,
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  • J. Nascimento, J. Bioucas-Dias, J.M.R.A Alves, V. Silva, A. Plaza, Parallel Hyperspectral Unmixing on GPUs, IEEE Geoscience and Remote Sensing Letters, Vol. 11, No. 3, pp. 666 - 670, March, 2014,
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  • J. Nascimento, J. Bioucas-Dias, Hyperspectral Unmixing based on Mixtures of Dirichlet Components, IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, No. 3, pp. 863 - 878, March, 2012,
    | Abstract
    | Full text (PDF 1 MB) | BibTex
  • J. Bioucas-Dias, J. Nascimento, Hyperspectral subspace identification, IEEE Transactions on Geoscience and Remote Sensing, Vol. 46, No. 8, pp. 2435 - 2445, August, 2008,
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  • J. Nascimento, J. Bioucas-Dias, Vertex Component Analisys: A Fast Algorithm to Unmix Hyperspectral Data, IEEE Transactions on Geoscience and Remote Sensing, Vol. 43, No. 4, pp. 898 - 910, April, 2005,
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  • J. Nascimento, J. Bioucas-Dias, Does Independent Component Analysis Play a Role in Unmixing Hyperspectral Data?'', IEEE Transactions on Geoscience and Remote Sensing, Vol. 43, No. 1, pp. 175 - 187, January, 2005,
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  • H. Harkat, J. Nascimento, A. Bernardino Bernardino, H. Ahmed, Fire images classification using high order statistical features, ADAI International Conference on Forest Fire Research ICFFR, Coimbra, Portugal, November, 2022 | Full text (PDF 414 KBs) | BibTex
  • J. Nascimento, H. Harkat, A. Bernardino Bernardino, H. Ahmed, Fire image detection based on clustering data mining techniques, SPIE, Berlin, Germany, September, 2022 | BibTex
  • J. Nascimento, A. Bernardino Bernardino, R. Ribeiro, H. Harkat, G. Cruz, D. Silva Silva, Towards the Automation of Wildfire Monitoring with Aerial Vehicles: The FIREFRONT Project, International Conf. on Pattern Recognition - ICPR, Montereal, Canada, August, 2022,
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  • H. Harkat, J. Nascimento, A. Bernardino Bernardino, Fire segmentation using a SqueezeSegv2, SPIE - Conf. on Image and Signal Processing for Remote Sensing, Conference online, September, 2021,
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  • H. Harkat, J. Nascimento, A. Bernardino Bernardino, Fire Detection using Deeplabv3+ with Mobilenetv2, IEEE International Geoscience and Remote Sensing Symp.- IGARSS, brussels, Belgium, July, 2021,
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  • J. Nascimento, MV Vestias, FPGA-based architecture for hyperspectral Compressive Sensing, Conference on Telecommunications - ConfTele, Leiria, Portugal, February, 2021,
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  • H. Harkat, J. Nascimento, A. Bernardino Bernardino, Fire Detection using Residual Deeplabv3+ Model, Telecoms Conference ConfTELE, Lieiria, Portugal, November, 2020,
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  • H. Harkat, J. Nascimento, A. Bernardino Bernardino, Fire segmentation using a DeepLabv3+ architecture, SPIE - Conf. on Image and Signal Processing for Remote Sensing, Only online, United Kingdom, Vol. 1533, pp. 134 - 145, September, 2020,
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  • J. Nascimento, M. Véstias, Hyperspectral Compressive Sensing - A Comparison of embedded GPU and ARM implementations, SPIE Security + Defence, Strasbourg, France, Vol., pp. - - -, September, 2019 | BibTex
  • J. Nascimento, M. Véstias, Low Power Compressive Sensing for Hyperspectral Imagery, Conf. on Telecommunications - ConfTele, Lisbon, Portugal, June, 2019,
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  • J. Nascimento, M. Véstias, R. Duarte, Hyperspectral Compressive Sensing - A Low Power Consumption Approach, Europe Remote Sensing - SPIE, Berlim, Germany, Vol. 10792, pp. - - -, September, 2018,
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  • J. Nascimento, G. Martin Martin, Hyperspectral Compressive Sensing On Low Energy Consumption Board, IEEE International Geoscience and Remote Sensing Symp.- IGARSS, Valencia, Spain, July, 2018,
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  • J. Nascimento, G. Martin Martin, On the use of Jetson TX1 board for Parallel Hyperspectral Compressive Sensing, Europe Remote Sensing - SPIE, warsaw, Poland, Vol. 10430, pp. - - -, September, 2017,
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  • J. Cedillo, J. Nascimento, G. Martin Martin, Parallel hyperspectral image reconstruction using random projections, Europe Remote Sensing - SPIE, Edinburgh, United Kingdom, Vol. -, pp. - - -, September, 2016,
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  • J. Cedillo, G. Martin Martin, J. Nascimento, HYPERSPECTRAL IMAGE RECONSTRUCTION FROM RANDOM PROJECTIONS ON GPU, IEEE International Geoscience and Remote Sensing Symp.- IGARSS, Beijin, China, Vol. -, pp. - - -, July, 2016,
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  • J. Cedillo, J. Bioucas-Dias, G. Martin Martin, J. Nascimento, Hyperspectral image reconstruction from random projections on GPUs, IEEE International Geoscience and Remote Sensing Symp.- IGARSS, Beijing, China, Vol. PP, pp. 1 - 4, July, 2016 | BibTex
  • S. B. G. Garcia, G. Martin Martin, J. Nascimento, Parallel hyperspectral compressive sensing method on GPU, SPIE, Tolouse, France, Vol. 9646, pp. 96460 - 96468, October, 2015,
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  • J. Cedillo, J. Nascimento, Parallel GPU Architecture for hyperspectral unmixing based on augmented Lagrangian method, International Conf. on Computer as a Tool - Eurocon, Salamanca, Spain, Vol. -, pp. 1 - 6, September, 2015,
    | Abstract
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  • J. Cedillo, J. Bioucas-Dias, V. Silva, J. Nascimento, SISAL Implementation on GPU for Hyperspectral Unmixing, Conf. on Telecommunications - ConfTele, Aveiro, Portugal, Vol. 0, pp. 0 - 0, September, 2015,
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  • J. Cedillo, J. Nascimento, GPU Implementation of the Simplex Identification via Split Augmented Lagrangian, Europe Remote Sensing - SPIE, Toulouse, France, Vol. 9646, pp. 964607 - 964607-10, September, 2015,
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  • S. B. G. Garcia, G. Martin Martin, J. Nascimento, J. Bioucas-Dias, A. Plaza, , , A Fast Parallel Hyperspectral Coded Aperture Algorithm for Compressive Sensing Using OpenCL, International Conf. on Computer as a Tool - Eurocon, Salamanca, Spain, Vol. --, pp. -- - --, September, 2015,
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    | Full text (PDF 157 KBs) | BibTex
  • J. Nascimento, MV Vestias, Real-time Hyperspectral Unmixing on Low Cost FPGA, Conf. on Telecommunications - ConfTele, Aveiro, Portugal, Vol. -, pp. - - -, September, 2015,
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  • S. B. G. Garcia, G. Martin Martin, J. Nascimento, J. Bioucas-Dias, V. Silva, A. Plaza, GPU IMPLEMENTATION OF A HYPERSPECTRAL CODED APERTURE ALGORITHM FOR COMPRESSIVE SENSING, IEEE International Geoscience and Remote Sensing Symp.- IGARSS, Milan, Italy, Vol. -, pp. - - -, July, 2015 | BibTex
  • J. Nascimento, MV Vestias, G. Martin Martin, FPGA-based Architecture for Hyperspectral Unmixing, IEEE International Geoscience and Remote Sensing Symp.- IGARSS, Milan, Italy, Vol. -, pp. 1761 - 1764, July, 2015 | BibTex
  • S. B. G. Garcia, G. Martin Martin, J. Nascimento, J. Bioucas-Dias, A. Plaza, V. Silva, GPU IMPLEMENTATION OF A CONSTRAINED HYPERSPECTRAL CODED APERTURE ALGORITHM FOR COMPRESSIVE SENSING, IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing - WHISPERS, Tokyo, Japan, Vol. -, pp. - - -, June, 2015,
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  • JPJR Rosário, J. Nascimento, MV Vestias, FPGA-based Architecture for Hyperspectral Endmember Extraction, Europe Remote Sensing - SPIE, Amesterdam, Netherlands, Vol. 9247, pp. 924703 - 924703-11, September, 2014,
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  • A. Cigarro Matos, A. Lourenço, J. Nascimento, Biometric Recognition System Using Low Bandwidth ECG Signals, International Conf. on E-Health Networking, Applications and Services - HealthCom, Lisbon, Portugal, Vol. ?, pp. ? - ?, October, 2013,
    | Abstract
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  • A. Cigarro Matos, A. Lourenço, J. Nascimento, Embedded System for ECG Biometrics, International Congress on Cardiovasular Technologies - CARDIOTECHNIX, Vilamoura, Portugal, Vol. ?, pp. ? - ?, September, 2013,
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  • J. Nascimento, J.M.R.A Alves, A. Plaza, V. Silva, J. Bioucas-Dias, Parallel Method for Sparse Semisupervised Hyperspectral Unmixing, Europe Remote Sensing - SPIE, Dresden, Germany, Vol. 8895, pp. 88950B - 88950B-8, September, 2013,
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  • J.M.R.A Alves, J. Nascimento, J. Bioucas-Dias, A. Plaza, V. Silva, Parallel Sparse Unmixing of Hyperspectral Data, IEEE International Geoscience and Remote Sensing Symp.- IGARSS, Melbourne, Australia, Vol. -, pp. 1446 - 1449, July, 2013,
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  • J. Nascimento, V. Silva, J. Bioucas-Dias, J.M.R.A Alves, Parallel Hyperspectral Unmixing Method on GPU, Conf. on Telecommunications - ConfTele, Castelo Branco, Portugal, Vol. -, pp. - - -, May, 2013,
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  • J.M.R.A Alves, J. Nascimento, J. Bioucas-Dias, V. Silva, A. Plaza, Parallel Implementation of Vertex Component Analysis for Hyperspectral Endmember Extraction, IEEE International Geoscience and Remote Sensing Symp.- IGARSS, Munich, Germany, Vol. -, pp. 4078 - 4081, July, 2012,
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  • J.M.R.A Alves, J. Nascimento, A. Plaza, S.S Sanchez, J. Bioucas-Dias, V. Silva, Vertex Component Analysis GPU-based Implementation for Hyperspectral Unmixing, IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing - WHISPERS, Shanghai, China, Vol. -, pp. 1 - 4, June, 2012,
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  • J. Nascimento, J. Bioucas-Dias, Hyperspectral Unmixing with Simultaneous Dimensionality Estimation, International Conf. on Pattern Recognition Applications and Methods - ICPRAM, Vilamoura, Portugal, Vol. -, pp. 438 - 444, February, 2012,
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  • J R Rosário, A. Lourenço, J. Nascimento, A Toolbox for Hyperspectral Image Analysis, Conf. on Electronics, Telecommunications and Computers - CETC, Lisbon, Portugal, Vol. -, pp. - - -, November, 2011,
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  • J. Nascimento, J. Bioucas-Dias, Unmixing Hyperspectral Intimate Mixtures, SPIE - Conf. on Image and Signal Processing for Remote Sensing, Toulouse, France, Vol. 7830, pp. 78300C - 78300C-8, September, 2010,
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  • J. Nascimento, J. Bioucas-Dias, Nonlinear Mixture Model for Hyperspectral Unmixing, SPIE - Conf. on Image and Signal Processing for Remote Sensing, Berlin, Germany, Vol. 7477, pp. 74770I - 74770I-8, September, 2009,
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  • J. Nascimento, J. Bioucas-Dias, Learning Dependent Sources using Mixtures of Dirichlet: Applications on Hyperspectral Unmixing, IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing - WHISPERS, Grenoble, France, Vol. -, pp. 1 - 5, August, 2009,
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  • J. Nascimento, J. Bioucas-Dias, Unsupervised Hyperspectral Signal Subspace Identification, Conf. on Telecommunications - ConfTele, Santa Maria da Feira, Portugal, Vol. 1, pp. 441 - 444, May, 2009,
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  • J. Nascimento, J. Bioucas-Dias, Separação de Dados Hiperespectrais por Análise de Componentes Dependentes, Jornadas de Engenharia de Electrónica e Telecomunicações e de Computadores do ISEL, lisbon, Portugal, Vol. -, pp. - - -, November, 2008,
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  • J. Nascimento, J. Bioucas-Dias, Separação de Dados Hiperespectrais Baseada na Análise de Vértices de um Simplex, Jornadas de Engenharia de Electrónica e Telecomunicações e de Computadores do ISEL, Lisbon, Portugal, Vol. -, pp. - - -, November, 2008,
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  • J. Nascimento, J. Bioucas-Dias, New Developments on VCA Unmixing Algorithm, SPIE - Conf. on Image and Signal Processing for Remote Sensing, Cardiff, United Kingdom, Vol. 7109, pp. 71090F - 71090F-9, September, 2008,
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  • J. Nascimento, J. Bioucas-Dias, Blind Hyperspectral Unmixing, Europe Remote Sensing - SPIE, Florence, Italy, Vol. 6748, pp. 67480J - 67480J-8, September, 2007,
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  • J. Nascimento, J. Bioucas-Dias, Hyperspectral Unmixing Algorithm via Dependent Component Analysis, IEEE International Geoscience and Remote Sensing Symp.- IGARSS, Barcelona, Spain, Vol. -, pp. 4033 - 4036, July, 2007,
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  • J. Nascimento, J. Bioucas-Dias, Hyperspectral Signal Subspace Estimation, IEEE International Geoscience and Remote Sensing Symp.- IGARSS, Barcelona, Spain, Vol. -, pp. 3225 - 3228, July, 2007,
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  • J. Nascimento, J. Bioucas-Dias, Dependent Component Analysis: A Hyperspectral Unmixing Algorithm, Iberian Conf. on Pattern Recognition and Image Analysis, Girona, Spain, Vol. 4478, pp. 612 - 619, June, 2007,
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  • J. Nascimento, J. Bioucas-Dias, Blind Hyperspectral Unmixing, Conf. on Telecommunications - ConfTele, Peniche, Portugal, Vol. I, pp. 617 - 624, May, 2007,
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  • J. Nascimento, J. Bioucas-Dias, Estimação do Subespaço de Sinal em Dados Hiperespectrais, Jornadas Científico-Pedagógicas em Engenharia Electrotécnica e Electrónica, Lisbon, Portugal, Vol. CD rom, pp. - - -, November, 2005,
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  • J. Bioucas-Dias, J. Nascimento, J. Nascimento, Signal subspace identification in hyperspectral linear mixtures, SPIE - Conf. on Image and Signal Processing for Remote Sensing, Bruges, Belgium, Vol. SPIE-5982, pp. 191 - 198, September, 2005 | BibTex
  • J. Nascimento, J. Bioucas-Dias, Mixture of Dirichlet sources applied to hyperspectral unmixing, EARSEL Symp., Oporto, Portugal, Vol. -, pp. 0 - 0, June, 2005,
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  • J. Nascimento, J. Bioucas-Dias, Signal Subspace Identification in Hyperspectral Linear Mixtures, Iberian Conf. on Pattern Recognition and Image Analysis, Estoril, Portugal, Vol. 3523, pp. 207 - 214, June, 2005,
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  • J. Nascimento, J. Bioucas-Dias, Independent Component Analysis Applied to Unmixing Hyperspectral Data, SPIE, Barcelona, Spain, Vol. 5238, pp. 306 - 315, September, 2003,
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  • J. Nascimento, J. Bioucas-Dias, Fast Unsupervised Extraction of Endmembers spectra from Hyperspectral Data, SPIE, Barcelona, Spain, Vol. 5239, pp. 314 - 321, September, 2003,
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  • J. Nascimento, J. Bioucas-Dias, Does Independent Component Analysis Play a Role in Unmixing Hyperspectral Data?, Iberian Conf. on Pattern Recognition and Image Analysis, Puerto de Andratx, Spain, Vol. LNCS - 2652, pp. 616 - 625, June, 2003,
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  • J. Nascimento, J. Bioucas-Dias, Vertex Component Analysis: A fast algorithm to extract endmembers spectra from Hyperspectral data, Iberian Conf. on Pattern Recognition and Image Analysis, Puerto de Andratx, Spain, Vol. LNCS - 2652, pp. 626 - 635, June, 2003,
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  • J. Nascimento, J. Bioucas-Dias, Fast Unsupervised Technique for Extraction of Endmembers Spectra from Hyperspectral Data, Conf. on Telecommunications - ConfTele, Aveiro, Portugal, Vol. I, pp. 537 - 540, June, 2003,
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  • J. Nascimento, J. Bioucas-Dias, Classificação Não-Supervisionada de Dados Hiperespectrais Usando Análise em Componentes Independentes, Conf. on Electronics, Telecommunications and Computers - CETC, Lisbon, Portugal, Vol. on CD-rom, pp. 0 - 0, May, 2002,
    | Abstract
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  • J. Nascimento, J. S. Marques, An Algorithm for the Estimation of 3D Surfaces Using Competitive Learning, Ibero-American Symp. on Pattern Recognition - SIARP, Lisbon, Portugal, Vol. I, pp. 139 - 146, September, 2000,
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  • J. Nascimento, J. S. Marques, Estimation of 3D Shapes Using Active Surface Models, Portuguese Conf. on Pattern Recognition - RecPad, Oporto, Portugal, Vol. I, pp. 439 - 441, May, 2000,
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  • J. Nascimento, J. S. Marques, Estimação de Superfícies Tridimensionais com Modelos Activos, Jornadas de Engenharia de Telecomunicações e Computadores, Lisbon, Portugal, Vol. II, pp. 21 - 26, October, 1999,
    | Abstract
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Closed Projects2

Acronym Name Funding Agency Start date Ending date
HoHus High-performance Onboard Hyperspectral Unmixing Systems IT/LA 01-10-2011 01-10-2013
Hycos Hyperspectral Compressive Sensing and Unmixing IT/LA 01-03-2014 01-10-2015
  • IET Image Processing
    2007, 1 review(s);
  • IEEE Journal on Selected Topics in Signal Processing
    2010, 1 review(s);
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Geoderma
    2011, 1 review(s);
  • IEEE Transactions on Aerospace and Electronic Systems
    2007, 1 review(s);
  • IEEE Transactions on Image Processing
    2007, 1 review(s);
  • IEEE Transactions on Signal Processing
    2008, 1 review(s);
  • Intrnl. Journal of Remote Sensing
  • Journal of Signal Processing Systems
  • Journal of Real-Time Image Processing
    2009, 1 review(s);
  • Pattern Recognition
    2008, 1 review(s);
  • Journal of Applied Remote Sensing
  • IEEE Transactions on Geoscience and Remote Sensing
    2005, 1 review(s);