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PHySIS

Sparse Signal Processing Technologies for HyperSpectral Imaging Systems

Total Cost €

EC-Contrib. €

Partnership

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Outcomes and
results

PHySIS project word cloud

Explore the words cloud of the PHySIS project. It provides you a very rough idea of what is the project "PHySIS" about.

explosive imaged generation imagery cubes estimation wealth matrix sophisticated objects combine recent computational mitigate accurately signals capture spectra algorithmic permitted leverage unprecedented sensors sparsity almost rates video technologies imaging representations spectral recovery naturally theoretical enforcing resolution statistical sequences data dimensionality occurring poses dimensional hyperspectral spatial electronics sufficiently extend optics envisaged sparse nature time lies possessing sensing completion enormous explored conventional signal domains space advantages massive simultaneously temporal forming usually burden amounts performance cameras analyze compressive

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 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.	EL (IRAKLEIO)	coordinator	240˙000.00
2	COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES COMMISSARIAT A L ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES Organization address address: RUE LEBLANC 25 city: PARIS 15 postcode: 75015 website: www.cea.fr contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	FR (PARIS 15)	participant	209˙875.00
3	INTERUNIVERSITAIR MICRO-ELECTRONICA CENTRUM INTERUNIVERSITAIR MICRO-ELECTRONICA CENTRUM Organization address address: KAPELDREEF 75 city: LEUVEN postcode: 3001 website: www.imec.be contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	BE (LEUVEN)	participant	203˙125.00
4	NATIONAL OBSERVATORY OF ATHENS NATIONAL OBSERVATORY OF ATHENS Organization address address: LOFOS NYMFON city: ATHINA postcode: 11810 website: www.noa.gr contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	EL (ATHINA)	participant	190˙000.00
5	PLANETEK ITALIA SRL PLANETEK ITALIA SRL Organization address address: VIA MASSAUA 12 city: BARI postcode: 70132 website: www.planetek.it contact info title: n.a. name: n.a. surname: n.a. function: n.a. email: n.a. telephone: n.a. fax: n.a.	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

List of 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. NgolÃ¨ 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 NgolÃ¨, 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, â€œJoint 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. CÃ©cile, 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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