High-performance Onboard Hyperspectral Unmixing Systems HoHus

PROJECT / HoHus

PROJECT:

High-performance Onboard Hyperspectral Unmixing Systems

ACRONYM:

HoHus

MAIN OBJECTIVE:

Hyperspectral imaging has recently emerged as a powerful remote sensing technology.
The huge data volumes acquired by these sensors put stringent requirements on data processing techniques as most of the remote sensing applications require an immediate response.
The project aims at the development and implementation in GPU and FPGA hardware of the main steps of the unmixing techniques in a parallel fashion.
The full unmixing system supported by specialized hardware may be suitable in the future for real-time onboard processing.

Reference:

P01133

Funding:

IT/LA

Start Date:

01-10-2011

End Date:

01-10-2013

Team:

José Manuel Peixoto do Nascimento, José Manuel Bioucas Dias, Vitor Manuel Mendes da Silva, Jose Manuel Rodriguez Alves

Groups:

Pattern and Image Analysis – Lx
Multimedia Signal Processing – Co

Partners:

António Plaza - University of Extremadura, Spain

Local Coordinator:

José Manuel Peixoto do Nascimento

Links:

Internal Page

Related UN SDG

This project falls under the following United Nations Strategic Development Goals (SDGs):

United Nations Strategic Development Goal - Industry, Innovation and Infrastructure

Associated Publications

2Book Chapters

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

2Papers in Journals

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,
| Abstract | BibTex
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

6Papers in Conferences

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,
| Abstract | BibTex
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,
| Abstract | BibTex
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,
| Abstract | BibTex
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,
| Abstract | BibTex
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,
| Abstract | BibTex
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,
| Abstract | BibTex

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