José M. P. Nascimento

Orcid: 0000-0002-5291-6147

According to our database1, José M. P. Nascimento authored at least 30 papers between 2003 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Fire images classification based on a handcraft approach.
Expert Syst. Appl., 2023

2022
Assessing the Impact of the Loss Function and Encoder Architecture for Fire Aerial Images Segmentation Using Deeplabv3+.
Remote. Sens., 2022

Towards the Automation of Wildfire Monitoring with Aerial Vehicles: The FIREFRONT Project.
Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022

2021
Fire Detection using Deeplabv3+ with Mobilenetv2.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Hyperspectral Compressive Sensing With a System-On-Chip FPGA.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

2018
Hyperspectral Compressive Sensing on Low Energy Consumption Board.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2016
Parallel Hyperspectral Coded Aperture for Compressive Sensing on GPUs.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

Parallel Hyperspectral Unmixing Method via Split Augmented Lagrangian on GPU.
IEEE Geosci. Remote. Sens. Lett., 2016

Hyperspectral image reconstruction from random projections on GPU.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2015
GPU implementation of a constrained hyperspectral coded aperture algorithm for compressive sensing.
Proceedings of the 7th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2015

FPGA-based architecture for hyperspectral unmixing.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

GPU implementation of a hyperspectral coded aperture algorithm for compressive sensing.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

Parallel GPU architecture for hyperspectral unmixing based on augmented Lagrangian method.
Proceedings of the IEEE EUROCON 2015, 2015

A fast parallel hyperspectral coded aperture algorithm for compressive sensing using OpenCL.
Proceedings of the IEEE EUROCON 2015, 2015

2014
Parallel Hyperspectral Unmixing on GPUs.
IEEE Geosci. Remote. Sens. Lett., 2014

2013
Parallel sparse unmixing of hyperspectral data.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Biometric recognition system using low bandwidth ECG signals.
Proceedings of the IEEE 15th International Conference on e-Health Networking, 2013

2012
Hyperspectral Unmixing Based on Mixtures of Dirichlet Components.
IEEE Trans. Geosci. Remote. Sens., 2012

Vertex component analysis GPU-based implementation for hyperspectral unmixing.
Proceedings of the 4th Workshop on Hyperspectral Image and Signal Processing, 2012

Parallel implementation of vertex component analysis for hyperspectral endmember extraction.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Hyperspectral Unmixing with Simultaneous Dimensionality Estimation.
Proceedings of the ICPRAM 2012, 2012

2009
Learning dependent sources using mixtures of Dirichlet: Applications on hyperspectral unmixing.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009

2008
Hyperspectral Subspace Identification.
IEEE Trans. Geosci. Remote. Sens., 2008

2007
Hyperspectral unmixing algorithm via dependent component analysis.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

Hyperspectral signal subspace estimation.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

Dependent Component Analysis: A Hyperspectral Unmixing Algorithm.
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

2005
Vertex component analysis: a fast algorithm to unmix hyperspectral data.
IEEE Trans. Geosci. Remote. Sens., 2005

Does independent component analysis play a role in unmixing hyperspectral data?
IEEE Trans. Geosci. Remote. Sens., 2005

Signal Subspace Identification in Hyperspectral Linear Mixtures.
Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005

2003
Vertex Component Analysis: A~Fast Algorithm to Extract Endmembers Spectra from Hyperspectral Data.
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003


  Loading...