“Sparse Signal Processing Technologies For HyperSpectral Systems”, 03/2015 – 02/2017.
Funded by: European Commission, H2020-COMPET-06-2014.
Partners: FORTH-ICS (Coordinator, P. Tsakalides), Commissariat à l’Énergie Atomique (CEA, France), National Observatory of Athens (NOA-Greeece), Interuniversitair Micro-Electronica Centrum VZW (IMEC-Belgium), PLANETEK Italia SRL (PLANETEK-Italy).
Funding: €1.028.000, (FORTH-ICS: €240.000).
SPL Contact Person: Prof. Panagiotis Tsakalides
Summary: Hyperspectral imaging systems find applications which span the space, civil, environmental, and defence needs, where example applications range from monitoring specific terrain features and vegetation, mineral, or soil types for resource management to the delimitation and identification of tumor in medical applications. The mission of PHySIS is to investigate extensions of compressive signal representations and sparsity-enforcing recovery technologies for the acquisition, compression, restoration, and understanding of hyperspectral data.
The key objectives of PHySIS include i) the design of cutting edge hyperspectral video architectures, ii) the investigation of signal models for hyperspectral data, iii) the development of hyperspectral compression and restoration algorithms, and iv) the design of novel hyperspectral image understanding methods. These techniques will be demonstrated at the end of the project in appropriate laboratory conditions.
The role of SPL:
Overall management of the project, including dissemination and exploitation activities.
Development of innovative algorithms for spatial and spectral enhancement of hyperspectral mosaic imagery.
Design of hyperspectral compression methods and protocols.
Investigation of terrestrial applications of hyperspectral imaging
Tsagkatakis, Grigorios; Jayapala, Murali; Geelen, Bert; Tsakalides, Panagiotis, Non-negative Matrix Completion for the Enhancement of Snapshot Mosaic Multispectral Imagery, IS&T International Symposium on Electronic Imaging 2016, Image Sensors and Imaging Systems Conference, San Francisco, CA, February 15-19, 2016.
Fotiadou, Konstantina; Tsagkatakis, Grigorios; Tsakalides, Panagiotis, Spectral resolution enhancement of hyperspectral images via sparse representations, IS&T International Symposium on Electronic Imaging 2016, Computational Imaging Conference, San Francisco, CA, February 15-19, 2016.
Cécile, Chenot; Bobin, Jerome; Rapin, Jeremy, Sparse BSS in the presence of outliers, SPARS, Cambridge UK, July 6-9, 2015.
Tsagkatakis, Grigorios; Tsakalides, Panagiotis, Compressed Hyperspectral Sensing, in Proc. 2015 IS&T/SPIE Electronic Imaging Conference, Image Sensors and Imaging Systems, San Francisco, CA, February 8-12, 2015.
- Generation of a hyperspectral image dataset for land cover estimation and mapping
Organization of the International Symposium on Statistical Challenges in 21st Century Cosmology (SCCC21), in conjunction with the Astronomical Data Analysis Summer School, Chania, Greece, May 22-27, 2016.