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PHySIS

Sparse Signal Processing Technologies for HyperSpectral Imaging Systems

Total Cost €

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EC-Contrib. €

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Partnership

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Project "PHySIS" data sheet

The following table provides information about the project.

Coordinator
IDRYMA TECHNOLOGIAS KAI EREVNAS 

Organization address
address: N PLASTIRA STR 100
city: IRAKLEIO
postcode: 70013
website: www.forth.gr

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 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.

# participants  country  role  EC contrib. [€] 
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

List of 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
List of publications.
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 Sparsity”, 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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