2017
[30] S. Farrens, J.-L. Starck and F.M. Ngolè Mboula "Space variant deconvolution of galaxy survey images", Astronomy and Astrophysics, in press, 2017
[29] M. Jiang, J. Bobin and J.-L. Starck, "Joint Multichannel Deconvolution and Blind Source Separation", SIAM Journal on Imaging Sciences, submitted, 2017
[28] F.M. Ngolè Mboula, and J.-L. Starck, "PSFs field learning based on Optimal Transport distances", submitted, 2017
[27] E.A. Mylona, O.A. Sykioti, K.D. Koutroumbas, A.A Rontogiannis, "Spectral Unmixing-Based Clustering of High-Spatial Resolution Hyperspectral Imagery", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017
[26] P.V. Giampouras, A.A Rontogiannis, K.E. Themelis, K.D. Koutroumbas, "Online sparse and low-rank subspace learning from incomplete data: A Bayesian view", Signal Processing 137 (2017): 199-212
[25] K. Fotiadou, G. Tsagkatakis, P. Tsakalides, "Deep Convolutional Neural Networks for the Classification of Snapshot Mosaic Hyperspectral Imagery", in IS&T International Symposium on Electronic Imaging: Computational Imaging, 2017
2016
[24] F.M. Ngolè Mboula, J.-L. Starck, K. Okomura, J. Amiaux, P. Hudelot. "Constraint matrix factorization for space variant PSFs field restoration", Inverse Problems, 32, 12, 2016
[23] J.-L. Starck, "Sparsity and inverse problems in astrophysics", Journal of Physics, 699, 012010, doi: 10.1088/1742-6596/699/1/012010, 2016
[22] J. Bobin, F. Sureau and J.-L. Starck, "CMB reconstruction from the WMAP and Planck PR2 data", Astronomy and Astrophysics, 591, id.A50, 12 pp, 2016
[21] R. Joseph, F. Courbin, J.-L. Starck, "Multi-band morpho-Spectral Component Analysis Deblending Tool (MuSCADeT): Deblending colourful objects", Astronomy and Astrophysics, 589, id.A2, pp 10, 2016
[20] S.D. Xenaki, K. D. Koutroumbas, A.A. Rontogiannis. "Hyperspectral image clustering using a novel efficient online possibilistic algorithm". Signal Processing Conference (EUSIPCO), 2016, 24th European. IEEE, 2016
[19] K. D. Koutroumbas, S.D Xenaki, and A.A Rontogiannis. "Detecting hyperplane clusters with adaptive possibilistic clustering". Proceedings of the 9th Hellenic Conference on Artificial Intelligence. ACM, 2016
[18] P.V. Giampouras, A.A. Rontogiannis, and K.D. Koutroumbas. "Online low-rank subspace learning from incomplete data using rank revealing ℓ2/ ℓ1 regularization". Statistical Signal Processing Workshop (SSP).IEEE, 2016
[17] K. Fotiadou, G. Tsagkatakis, and P. Tsakalides. "Spectral Super-Resolution for Hyperspectral Images via Sparse Representations". Living Planet Symposium. Vol. 740. 2016
[16] G. Tsagkatakis, and P. Tsakalides. "Deep Feature Learning for Hyperspectral Image Classification and Land Cover Estimation". Living Planet Symposium. Vol. 740. 2016
[15] G. Tsagkatakis, L. Amoruso, D. Sykas, C. Abbattista, and P. Tsakalides, "Lightweight Onboard Hyperspectral Compression and Recovery by Matrix Completion", in Proc. 5th International Workshop on On-Board Payload Data Compression (OBPDC 2016), ESRIN, Frascati, Rome, Italy, September 28-29, 2016
[14] G. Tsagkatakis and P. Tsakalides, "A Self-Similar and Sparse Approach for Spectral Mosaic Snapshot Recovery" in Proc. 2016 IEEE International Conference on Imaging Systems and Techniques (IST 2016), Chania, Greece, October 4-6, 2016
[13] P. V. Giampouras, K. E. Themelis, A. A. Rontogiannis and K. D. Koutroumbas, "Simultaneously sparse and low-rank abundance matrix estimation for hyperspectral image unmixing", IEEE Transactions on Geoscience and Remote Sensing, 2016
[12] K.E. Themelis, A.A. Rontogiannis, K.D. Koutroumbas, “Variational Bayes group sparse time-adaptive parameter estimation with either known or unknown sparsity pattern”, in press IEEE Transactions on Signal Processing, 2016
[11] S.D. Xenaki, K.D. Koutroumbas, A.A. Rontogiannis, “Sparsity-aware possibilistic clustering algorithms”, in press IEEE Transactions on Fuzzy Systems, 2016
[10] 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
[9] K. Karalas, G. Tsagkatakis, M. Zervakis, P. Tsakalides, “Land Classification Using Remotely Sensed Data: Going Multi-Label”, in press IEEE Transactions on Geoscience and Remote Sensing, 2016
[8] P. Agrawal, K. Tack, B. Geelen, B. Masschelein, P. Aranda Moran, A. Lambrechts, “Characterization of VNIR Hyperspectral Sensors with Monolithically Integrated Optical Filters” in IS&T International Symposium on Electronic Imaging: Image Sensors and Imaging Systems, San Francisco, February 17-18, 2016
[7] K. Fotiadou, G. Tsagkatakis, P. Tsakalides, “Spectral Resolution Enhancement of Hyperspectral Images via Sparse Representations” in IS&T International Symposium on Electronic Imaging: Computational Imaging, San Francisco, February 16-17, 2016
[6] Best Paper Award G. Tsagkatakis, B. Geelen, M. Jayapala, P. Tsakalides, “Non-negative Matrix Completion for the Enhancement of Snapshot Mosaic Multispectral Imagery” in IS&T International Symposium on Electronic Imaging: Image Sensors and Imaging Systems, San Francisco, February 17-18, 2016
2015
[5] M.Jiang, J.Girard, J-L.Starck, S.Corbel, C.Tasse, "Compressed Sensing and Radio Interferometry", in European Signal Processing Conference (EUSIPCO 2015), September 1-4, 2015
[4] K. Karalas, G. Tsagkatakis, M. Zervakis, P. Tsakalides, "Deep learning for multi-label land cover classification", in SPIE Remote Sensing, Toulouse FR, September 26-29, 2015
[3] C. Cécile, J. Bobin, and J. Rapin. "Sparse BSS in the presence of outliers", in SPARS, Cambridge UK, July 6-9, 2015
[2] G. Tsagkatakis, and P. Tsakalides, "Compressed Hyperspectral Sensing", in Proc. 2015 IS&T/SPIE Electronic Imaging Conference, Image Sensors and Imaging Systems, San Francisco, CA, February 8-12, 2015.
[1] G. Tsagkatakis, and P. Tsakalides, "Recovery of Quantized Compressed Sensing Measurements", in Proc. 2015 IS&T/SPIE Electronic Imaging Conference, Computational Imaging XIII, San Francisco, CA, February 8-12, 2015.