PHySIS
Sparse Signal Processing Technologies for HyperSpectral Imaging Systems
Total Cost €
0EC-Contrib. €
0Partnership
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Explore the words cloud of the PHySIS project. It provides you a very rough idea of what is the project "PHySIS" about.
Project "PHySIS" data sheet
The following table provides information about the project.
| Coordinator |
IDRYMA TECHNOLOGIAS KAI EREVNAS
Organization address contact info |
| Coordinator Country | Greece [EL] |
| Project website | http://www.physis-project.eu/ |
| Total cost | 1˙028˙000 € |
| EC max contribution | 1˙028˙000 € (100%) |
| Programme |
1. H2020-EU.2.1.6.1. (Enabling European competitiveness, non-dependence and innovation of the European space sector) |
| Code Call | H2020-COMPET-2014 |
| Funding Scheme | RIA |
| Starting year | 2015 |
| Duration (year-month-day) | from 2015-03-01 to 2017-02-28 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | IDRYMA TECHNOLOGIAS KAI EREVNAS | EL (IRAKLEIO) | coordinator | 240˙000.00 |
| 2 | COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES | FR (PARIS 15) | participant | 209˙875.00 |
| 3 | INTERUNIVERSITAIR MICRO-ELECTRONICA CENTRUM | BE (LEUVEN) | participant | 203˙125.00 |
| 4 | NATIONAL OBSERVATORY OF ATHENS | EL (ATHINA) | participant | 190˙000.00 |
| 5 | PLANETEK ITALIA SRL | IT (BARI) | participant | 185˙000.00 |
Map
Project objective
Recent advances in the fields of electronics and optics technology have permitted the design and development of sophisticated hyperspectral imaging sensors, which are able to capture the naturally occurring imaging spectra at a very high spatial resolution forming three-dimensional data cubes. In addition, it is envisaged that the next generation hyperspectral video cameras will have the ability to capture several hyperspectral data cubes per second, at almost video rates. Hyperspectral video sequences possessing high temporal, spatial, and spectral resolution will combine the advantages of both video and hyperspectral imagery. This unprecedented wealth of information poses a major challenge and necessitates the development of highly sophisticated signal processing systems. Addressing simultaneously the explosive growth of data dimensionality and the need to accurately determine the type and nature of the objects being imaged is a task that is not sufficiently treated currently by conventional statistical data analysis methods.
The objective of this project is to develop, test, and evaluate novel signal processing technologies for real-time processing of hyperspectral data cubes. Although hyperspectral sensors capture massive amounts of high-dimensional data, relevant information usually lies in a low-dimensional space. Our aim is to extend recent theoretical and algorithmic developments in the field of sparsity-enforcing recovery, compressive sensing, and matrix completion, in order to build and exploit sparse representations adapted to the hyperspectral signals of interest. It is envisaged that all three, temporal, spatial and spectral domains of hyperspectral data will be explored for sparse representations. Thus, sparsity in the data will be used not only to improve estimation performance, but also to mitigate the enormous computational burden needed to analyze hyperspectral data and leverage the development of real-time hyperspectral processing systems.
Deliverables
| Terrestrial markets analysis | Documents, reports | 2019-07-22 15:11:27 |
| Annual report on dissemination activities (Y1) | Documents, reports | 2019-07-22 15:11:27 |
| Report on the robust recovery of hyperspectral data | Documents, reports | 2019-07-22 15:11:27 |
| Scenario descriptions and system requirements (v1) | Documents, reports | 2019-07-22 15:11:26 |
| Data management plan | Documents, reports | 2019-07-22 15:11:27 |
| Scenario descriptions and system requirements (v2) | Documents, reports | 2019-07-22 15:11:27 |
| Report on the application scenarios | Documents, reports | 2019-07-22 15:11:26 |
| Report on efficient hyperspectral image compression | Documents, reports | 2019-07-22 15:11:27 |
| Annual report on dissemination activities (Y2) | Documents, reports | 2019-07-22 15:11:27 |
| Report on unmixing algorithms for hyperspectral data | Documents, reports | 2019-07-22 15:11:26 |
| User manual and demonstration procedures | Documents, reports | 2019-07-22 15:11:26 |
| Space market analysis | Documents, reports | 2019-07-22 15:11:27 |
| Risk assessment procedure | Documents, reports | 2019-07-22 15:11:26 |
| Report on the analysis and evaluation of video SSI architectures | Documents, reports | 2019-07-22 15:11:27 |
Take a look to the deliverables list in detail: detailed list of PHySIS deliverables.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2016 |
K. Fotiadou, G. Tsagkatakis, P. Tsakalides Spectral Resolution Enhancement of Hyperspectral Images via Sparse Representations published pages: , ISSN: , DOI: |
IS&T International Symposium on Electronic Imaging: Computational Imaging | 2019-07-22 |
| 2017 |
Paris V. Giampouras, Athanasios A. Rontogiannis, Konstantinos E. Themelis, Konstantinos D. Koutroumbas Online sparse and low-rank subspace learning from incomplete data: A Bayesian view published pages: 199-212, ISSN: 0165-1684, DOI: 10.1016/j.sigpro.2017.02.003 |
Signal Processing 137 | 2019-07-22 |
| 2017 |
Grigorios Tsagkatakis and Panagiotis Tsakalides Computational Snapshot Spectral Imaging published pages: 39, ISSN: , DOI: |
ERCIM News 108 | 2019-07-22 |
| 2016 |
R. Joseph, F. Courbin, J.-L. Starck Multi-band morpho-Spectral Component Analysis Deblending Tool (MuSCADeT): Deblending colourful objects published pages: A2, ISSN: 0004-6361, DOI: 10.1051/0004-6361/201527923 |
Astronomy & Astrophysics 589 | 2019-07-22 |
| 2016 |
Konstantina Fotiadou, Grigorios Tsagkatakis and Panagiotis Tsakalides Spectral Super-Resolution for Hyperspectral Images via Sparse Representations published pages: , ISSN: , DOI: |
Living Planet Symposium 740 | 2019-07-22 |
| 2017 |
K. Fotiadou, G. Tsagkatakis, P. Tsakalides Deep Convolutional Neural Networks for the Classification of Snapshot Mosaic Hyperspectral Imagery published pages: , ISSN: , DOI: |
IS&T International Symposium on Electronic Imaging: Computational Imaging, 2017 | 2019-07-22 |
| 2015 |
G. Tsagkatakis and P. Tsakalides Compressed Hyperspectral Sensing published pages: , ISSN: , DOI: |
Proc. 2015 IS&T/SPIE Electronic Imaging Conference, Image Sensors and Imaging Systems | 2019-07-22 |
| 2016 |
G. Tsagkatakis and P. Tsakalides Deep Feature Learning for Hyperspectral Image Classification and Land Cover Estimation published pages: , ISSN: , DOI: |
Living Planet Symposium 740 | 2019-07-22 |
| 2016 |
Konstantinos Karalas, Grigorios Tsagkatakis, Michael Zervakis, Panagiotis Tsakalides Land Classification Using Remotely Sensed Data: Going Multilabel published pages: 3548-3563, ISSN: 0196-2892, DOI: 10.1109/TGRS.2016.2520203 |
IEEE Transactions on Geoscience and Remote Sensing 54/6 | 2019-07-22 |
| 2016 |
Paris V. Giampouras, Konstantinos E. Themelis, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas Simultaneously Sparse and Low-Rank Abundance Matrix Estimation for Hyperspectral Image Unmixing published pages: 4775-4789, ISSN: 0196-2892, DOI: 10.1109/TGRS.2016.2551327 |
IEEE Transactions on Geoscience and Remote Sensing 54/8 | 2019-07-22 |
| 2016 |
G. Tsagkatakis and P. Tsakalides A Self-Similar and Sparse Approach for Spectral Mosaic Snapshot Recovery published pages: , ISSN: , DOI: |
Proc. 2016 IEEE International Conference on Imaging Systems and Techniques (IST 2016) | 2019-07-22 |
| 2017 |
Eleftheria A. Mylona, Olga A. Sykioti, Konstantinos D. Koutroumbas, Athanasios A. Rontogiannis Spectral Unmixing-Based Clustering of High-Spatial Resolution Hyperspectral Imagery published pages: 1-11, ISSN: 1939-1404, DOI: 10.1109/JSTARS.2017.2687703 |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | 2019-07-22 |
| 2016 |
Prashant Agrawal, Klaas Tack, Bert Geelen, Bart Masschelein, Pablo Mateo Aranda Moran, Andy Lambrechts, Murali Jayapala Characterization of VNIR Hyperspectral Sensors with Monolithically Integrated Optical Filters published pages: 1-7, ISSN: 2470-1173, DOI: 10.2352/ISSN.2470-1173.2016.12.IMSE-280 |
Electronic Imaging 2016/12 | 2019-07-22 |
| 2017 |
F.M. Ngolè Mboula and J.-L. Starck PSFs field learning based on Optimal Transport distances published pages: , ISSN: 1936-4954, DOI: |
SIAM Journal Imaging Science | 2019-07-22 |
| 2016 |
Spyridoula D. Xenaki, Konstantinos D. Koutroumbas, Athanasios A. Rontogiannis Sparsity-Aware Possibilistic Clustering Algorithms published pages: 1611-1626, ISSN: 1063-6706, DOI: 10.1109/TFUZZ.2016.2543752 |
IEEE Transactions on Fuzzy Systems 24/6 | 2019-07-22 |
| 2017 |
S. Farrens, F. M. Ngol? Mboula, J.-L. Starck Space variant deconvolution of galaxy survey images published pages: A66, ISSN: 0004-6361, DOI: 10.1051/0004-6361/201629709 |
Astronomy & Astrophysics 601 | 2019-07-22 |
| 2016 |
F Ngolè, J-L Starck, K Okumura, J Amiaux, P Hudelot Constraint matrix factorization for space variant PSFs field restoration published pages: 124001, ISSN: 0266-5611, DOI: 10.1088/0266-5611/32/12/124001 |
Inverse Problems 32/12 | 2019-07-22 |
| 2016 |
M. Jiang, J.-L. Starck, J. Bobin
M. Jiang, J.-L. Starck, J. Bobin, “Joint Deconvolution and Blind Source Separation of Hyperspectral Data Using Sparsityâ€, in SIAM Conference on Imaging Science, Albuquerque, New Mexico, May 23-26, 2016 Joint Deconvolution and Blind Source Separation of Hyperspectral Data Using Sparsity published pages: , ISSN: , DOI: |
SIAM Conference on Imaging Science | 2019-07-22 |
| 2015 |
C. Cécile, J. Bobin, and J. Rapin Sparse BSS in the presence of outliers published pages: , ISSN: , DOI: |
SPARS | 2019-07-22 |
| 2017 |
M. Jiang, J. Bobin and J.-L. Starck Joint Multichannel Deconvolution and Blind Source Separation published pages: , ISSN: 1936-4954, DOI: |
SIAM Journal on Imaging Sciences | 2019-07-22 |
| 2016 |
G. Tsagkatakis, B. Geelen, M. Jayapala, P. Tsakalides Non-negative Matrix Completion for the Enhancement of Snapshot Mosaic Multispectral Imagery published pages: , ISSN: , DOI: |
IS&T International Symposium on Electronic Imaging: Image Sensors and Imaging Systems | 2019-07-22 |
| 2016 |
Jean-Luc Starck Sparsity and inverse problems in astrophysics published pages: 12010, ISSN: 1742-6588, DOI: 10.1088/1742-6596/699/1/012010 |
Journal of Physics: Conference Series 699 | 2019-07-22 |
| 2016 |
Konstantinos E. Themelis, Athanasios A. Rontogiannis, Konstantinos D. Koutroumbas Variational Bayes Group Sparse Time-Adaptive Parameter Estimation With Either Known or Unknown Sparsity Pattern published pages: 3194-3206, ISSN: 1053-587X, DOI: 10.1109/TSP.2016.2543204 |
IEEE Transactions on Signal Processing 64/12 | 2019-07-22 |
| 2016 |
G. Tsagkatakis, L. Amoruso, D. Sykas, C. Abbattista, and P. Tsakalides Lightweight Onboard Hyperspectral Compression and Recovery by Matrix Completion published pages: , ISSN: , DOI: |
Proc. 5th International Workshop on On-Board Payload Data Compression (OBPDC 2016) | 2019-07-22 |
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