Dr. Farid Melgani 

Farid Melgani received the State Engineer degree in electronics from the University of Batna, Algeria, in 1994, the M.Sc. degree in electrical engineering from the University of Baghdad, Iraq, in 1999, and the Ph.D. degree in electronic and computer engineering from the University of Genoa, Italy, in 2003. Since 2002, he has been an Assistant Professor, then an Associate Professor, and currently a Full Professor of Telecommunications at the University of Trento, Italy, where he teaches (taught) pattern recognition, machine learning, radar remote-sensing systems, remote sensing for archaeology, digital transmission, and digital signal processing. From 2007 to 2010, he was the head of the Intelligent Information Processing Laboratory of the Department of Information Engineering and Computer Science of the University of Trento. Since 2011, he is the head of the Signal Processing and Recognition Laboratory, and is currently the Dean of Undergrad and Grad Studies in the same department, as well as the Coordinator of the Ph.D. School in Industrial Innovation at the University of Trento. His research interests are in the fields of signal/image processing/analysis, machine learning, and artificial intelligence. Part of his researches was carried out within research projects funded by the European Space Agency, the Italian Space Agency, the Italian Ministry of the Education, Research and University, and the Italian Ministry of Foreign Affairs. He is a co-author of more than 250 scientific publications. He has about 14000 citations on Google Scholar, an H-Index=53 and about 650 cites/year. He is a referee for about 50 international journals. In 2016, he received the prestigious IEEE Fellow Award for contributions to image analysis in remote sensing.In 2020, he was ranked in Stanford study of the world's top 2% of scientists (exact ranking: 135 among 44176 researchers in his area). He is an Associate Editor of the IEEE Transactions on Geoscience and Remote Sensing, the IEEE Journal on Miniaturization for Air and Space Systems, and the International Journal of Remote Sensing. He was a Member of the Administrative Committee (AdCom) of the IEEE Geoscience and Remote Sensing Society. He is the Founder and General Chair of the IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium (M2GARSS).

• Journal Articles
  • 2016

    1. M. L. Mekhalfi, F. Melgani, A. Zeggada, F. G. B. De Natale, M. A.-M. Salem, A. Khamis, "Recovering the Sight to Blind People in Indoor Environments with Smart Technologies", Expert Systems With Applications, vol. 43, in press, 2016.

  • 2015

    1. T. Moranduzzo, F. Melgani, M. L. Mekhalfi, Y. Bazi, N. Alajlan, "Multiclass Coarse Analysis for UAV Imagery", IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 12, pp. 6394-6406, December 2015.

    2. M. L. Mekhalfi, F. Melgani, Y. Bazi, and N. Alajlan, "Land-Use Classification with Compressive Sensing Multifeature Fusion", IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 10, pp. 2155-2159, October 2015.

    3. M. L. Mekhalfi, F. Melgani, Y. Bazi, and N. Alajlan, "A Compressive Sensing Approach to Describe Indoor Scenes for Blind People", IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 7, pp. 1246-1257, July 2015.

    4. H. Hassouna, F. Melgani, Z. Mokhtari, "Spatial Contextual Gaussian Process Learning for Remote-Sensing Image Classification", Remote Sensing Letters, vol. 6, no. 7, pp. 519-528, July 2015.

    5. M. Roy, F. Melgani, A. Ghosh, E. Blanzieri and S. Ghosh, "Land-Cover Classification of Remotely Sensed Images using Compressive Sensing Having Severe Scarcity of Labeled Patterns", IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 6, pp. 1257-1261, June 2015.

    6. T. Moranduzzo, F. Melgani, Y. Bazi, N. Alajlan, "A Fast Object Detector Based on High-Order Gradients and Gaussian Process Regression for UAV Images", International Journal of Remote Sensing, vol. 36, no. 10, pp. 2713-2733, May 2015.

    7. E. Pasolli and F. Melgani, "Genetic Algorithm-Based Method for Mitigating Label Noise Issue in ECG Signal Classification", Biomedical Signal Processing and Control, vol. 19, pp. 130-136, May 2015.

    8. M. M. Al Rahhal, Y. Bazi, N. Alajlan, S. Malek, H. AlHichri, F. Melgani, S. H. Bakry, and M. A. AlZuar, "Classification of AAMI Heartbeat Classes with an Interactive ELM Ensemble Learning Approach", Biomedical Signal Processing and Control, vol. 19, pp. 56-67, May 2015.

    9. M. L. Mekhalfi, F. Melgani, Y. Bazi, and N. Alajlan, "Toward an Assisted Indoor Scene Perception for Blind People with Image Multilabeling Strategies", Expert Systems With Applications, vol. 42, no. 6, pp. 2907-2918, April 2015.

    10. M. A. Bencherif, Y. Bazi, A. Guessoum, N. Alajlan, F. Melgani, and H. AlHichri, "Fusion of Extreme Learning Machine and Graph-Based Optimization Methods for Active Classification of Remote Sensing Images", IEEE Geoscience and Remote Sensing Letters, vol. 12, no. 3, pp. 527-531, March 2015.

  • 2014

    1. S. Malek, Y. Bazi, N. Alajlan, H. AlHichri, F. Melgani, "Efficient Framework for Palm Tree Detection in UAV Images", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 12, pp. 4692-4703, December 2014.

    2. T. Moranduzzo and F. Melgani, "Detecting Cars in UAV Images with a Catalogue-Based Approach", IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 10, pp. 6356-6367, October 2014.

    3. N. Alajlan, Y. Bazi, F. Melgani, S. Malek, and M. A. Bencherif, "Detection of Premature Ventricular Contraction Arrhythmias in Electrocardiogram Signals with Kernel Methods", Signal, Image and Video Processing, vol. 8, no. 5, pp. 931-942, July 2014.

    4. Y. Bazi, N. Alajlan, F. Melgani, H. AlHichri, R. Yager, "Robust Estimation of Water Chlorophyll Concentrations with Gaussian Process Regression and IOWA Aggregation Operators", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no. 7, pp. 3019-3028, July 2014.

    5. Y. Bazi, N. Alajlan, F. Melgani, H. Hichri, S. Malek, and R.R. Yager, "Differential Evolution Extreme Learning Machine for the Classification of Hyperspectral Images", IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 6, pp. 1066-1070, June 2014.

    6. E. Pasolli, F. Melgani, D. Tuia, F. Pacifici, and W. J. Emery, "SVM Active Learning Approach for Image Classification using Spatial Information", IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 4, pp. 2217-2233, April 2014.

    7. T. Moranduzzo and F. Melgani, "An Automatic Car Counting Method for Unmanned Aerial Vehicle Images", IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 3, pp. 1635-1647, March 2014.

    8. N. Alajlan, E. Pasolli, F. Melgani, and A. Franzoso, "Large-Scale Image Classification using Active Learning", IEEE Geoscience and Remote Sensing Letters, vol. 11, no.1, pp. 259-263, January 2014.

  • 2013

    1. A. Daamouche, F. Melgani, N. Alajlan, and N. Conci, "Swarm Optimization of Structuring Elements for VHR Image Classification", IEEE Geoscience and Remote Sensing Letters, vol. 10, no. 6, pp. 1334-1338, November 2013.

    2. L. Lorenzi, F. Melgani, and G. Mercier, "Missing Area Reconstruction in Multispectral Images Under a Compressive Sensing Perspective", IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 7, pp. 3998-4008, July 2013.

    3. E. Pasolli, F. Melgani, N. Alajlan, and N. Conci, "Optical Image Classification: A Ground-Truth Design Framework", IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 6, pp. 3580-3597, June 2013.

    4. L. Lorenzi, F. Melgani, G. Mercier, and Y. Bazi, "Assessing the Reconstructability of Shadow Areas in VHR Images", IEEE Transactions on Geoscience and Remote Sensing, vol. 51, no. 5, pp. 2863-2873, May 2013.

    5. N. Alajlan, Y. Bazi, H. AlHichri, F. Melgani, R. Yager, "Using OWA Fusion Operators for the Classification of Hyperspectral Images", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 6, no. 2, pp. 602-614, April 2013.

    6. F. Douak, F. Melgani, and N. Benoudjit, "Kernel Ridge Regression with Active Learning for Wind Speed Prediction", Applied Energy, vol. 103, pp. 328-340, March 2013.

    7. L. Lorenzi, G. Mercier, and F. Melgani, "Support Vector Regression with Kernel Combination for Missing Data Reconstruction", IEEE Geoscience and Remote Sensing Letters, vol. 10, no. 2, pp. 367-371, March 2013.

  • 2012

    1. N. Alajlan, Y. Bazi, F. Melgani, R. Yager, "Fusion of Supervised and Unsupervised Learning for Improved Classification of Hyperspectral Images", Information Sciences, vol. 217, pp. 39-55, December 2012.

    2. N. Segata, E. Pasolli, F. Melgani, and E. Blanzieri, "Local SVM Approaches for Fast and Accurate Classification of Remote Sensing Images", International Journal of Remote Sensing, vol. 33, no. 19, pp. 6186-6201, October 2012.

    3. E. Pasolli, F. Melgani, N. Alajlan, and Y. Bazi, "Active Learning Methods for Biophysical Parameter Estimation", IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 10, pp. 4071-4084, October 2012.

    4. L. Lorenzi, F. Melgani, and G. Mercier, "A Complete Processing Chain for Shadow Detection and Reconstruction in VHR Images", IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 9, pp. 3440-3452, September 2012.

    5. Y. Bazi, N. Alajlan, and F. Melgani, "Improved Estimation of Water Chlorophyll Concentration with Semisupervised Gaussian Process Regression", IEEE Transactions on Geoscience and Remote Sensing, vol. 50, no. 7, pp. 2733-2743, July 2012.

    6. A. Daamouche, L. Hamami, N. Alajlan, and F. Melgani, "A Wavelet Optimization Approach for ECG Signal Classification", Biomedical Signal Processing and Control, vol. 7, no. 4, pp. 342-349, July 2012.

    7. L. Douha, N. Benoudjit, F. Douak, and F. Melgani, "Support Vector Regression in Spectrophotometry: An Experimental Study", Critical Reviews in Analytical Chemistry, vol. 42, pp. 214-219, June 2012.

    8. L. Douha, N. Benoudjit, and F. Melgani, "A Robust Regression Approach for Spectrophotometric Signal Analysis", Journal of Chemometrics, vol. 26, pp. 400-405, May 2012.

    9. F. Douak, F. Melgani, N. Alajlan, E. Pasolli, Y. Bazi, and N. Benoudjit, "Active Learning for Spectroscopic Data Regression", Journal of Chemometrics, vol. 26, pp. 374-383, April 2012.

  • 2011

    1. F. Douak, N. Benoudjit, and F. Melgani, "A Two-Stage Regression Approach for Spectroscopic Quantitative Analysis", Chemometrics and Intelligent Laboratory Systems, vol. 109, pp. 34-41, November 2011./p >

    2. G. Valotto, A. Quaranta, F. Melgani, F. Gonella, and G. Rampazzo, "Multivariate Analysis as a Tool for Ion Beam Induced Luminescence (IBIL) Spectra Interpretation", Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, vol. 81, no. 1, pp. 353-358, October 2011.

    3. L. Lorenzi, F. Melgani, and G. Mercier, "Inpainting Strategies for Reconstruction of Missing Data in VHR Images", IEEE Geoscience and Remote Sensing Letters, vol. 8, no. 5, pp. 914-918, September 2011.

    4. E. Pasolli, F. Melgani, and Y. Bazi, "SVM Active Learning Through Significance Space Construction", IEEE Geoscience and Remote Sensing Letters, vol. 8, no. 3, pp. 431-435, May 2011.

  • 2010

    1. E. Pasolli and F. Melgani, "Active Learning Methods for Electrocardiographic Signal Classification", IEEE Transactions on Information Technology in Biomedicine, vol. 14, no. 6, pp. 1405-1416, November 2010.

    2. Y. Bazi, F. Melgani, and H. Al-Sharari, "Unsupervised Change Detection in Multispectral Remotely Sensed Imagery with Level Set Methods", IEEE Transactions on Geoscience and Remote Sensing, vol. 48, no. 8, pp. 3178-3187, August 2010.

    3. L. Pasolli, F. Melgani, and E. Blanzieri, "Gaussian Process Regression for Estimating Chlorophyll Concentration in Subsurface Waters from Remote Sensing Data", IEEE Geoscience and Remote Sensing Letters, vol. 7, no. 3, pp. 464-468, July 2010.

    4. E. Pasolli, F. Melgani, and M. Donelli, "Gaussian Process Approach to Buried Object Size Estimation in GPR Images", IEEE Geoscience and Remote Sensing Letters, vol. 7, no. 1, pp. 141-145, January 2010.

    5. Y. Bazi and F. Melgani, "Gaussian Process Approach to Remote Sensing Image Classification", IEEE Transactions on Geoscience and Remote Sensing, vol. 48, no. 1, pp. 186-197, January 2010.

  • 2009

    1. Y. Bazi, F. Melgani, L. Bruzzone, and G. Vernazza, "A Genetic Expectation-Maximization Method for Unsupervised Change Detection in Multitemporal SAR Imagery", International Journal of Remote Sensing, vol. 30, no. 24, pp. 6591-6610, December 2009.

    2. A. Paoli, F. Melgani, and E. Pasolli, "Clustering of Hyperspectral Images based on Multiobjective Particle Swarm Optimization", IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 12, pp. 4175-4188, December 2009.

    3. A. Daamouche and F. Melgani, "Swarm Intelligence Approach to Wavelet Design for Hyperspectral Image Classification", IEEE Geoscience and Remote Sensing Letters, vol. 6, no. 4, pp. 825-829, October 2009.

    4. N. Ghoggali and F. Melgani, "Automatic Ground-Truth Validation with Genetic Algorithms for Multispectral Image Classification", IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 7, pp. 2172-2181, July 2009.

    5. E. Pasolli, F. Melgani, and M. Donelli, "Automatic Analysis of GPR Images: A Pattern Recognition Approach", IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 7, pp. 2206-2217, July 2009.

    6. N. Ghoggali, F. Melgani, and Y. Bazi, "A Multiobjective Genetic SVM Approach for Classification Problems with Limited Training Samples", IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 6, pp. 1707-1718, June 2009.

    7. N. Benoudjit, F. Melgani, and H. Bouzgou, "Multiple Regression Systems for Spectrophotometric Data Analysis", Chemometrics and Intelligent Laboratory Systems, vol. 95, no. 2, pp. 144-149, February 2009.

  • 2008

    1. N. Benoudjit, F. Melgani, and H. Bouzgou, “Multiple Regression Systems for Spectrophotometric Data Analysis”, Chemometrics and Intelligent Laboratory Systems, vol. 94, in press, 2008.

    2. N. Ghoggali, F. Melgani, and Y. Bazi, “A Multiobjective Genetic SVM Approach for Classification Problems with Limited Training Samples”, IEEE Transactions on Geoscience and Remote Sensing, vol. 46, in press, 2008.

    3. F. Melgani and Y. Bazi, “Classification of Electrocardiogram Signals with Support Vector Machines and Particle Swarm Optimization”, IEEE Transactions on Information Technology in Biomedicine, vol. 12, no. 5, pp. 667-677, 2008.

    4. Y. Bazi, F. Melgani, L. Bruzzone, and G. Vernazza, “A Genetic Expectation-Maximization Method for Unsupervised Change Detection in Multitemporal SAR Imagery”, International Journal of Remote Sensing, vol. 29, in press, 2008.

    5. E. Blanzieri and F. Melgani, “Nearest Neighbor Classification of Remote Sensing Images with Maximal Margin Principle”, IEEE Transactions on Geoscience and Remote Sensing, vol. 46, no. 6, pp. 1804-1811, June 2008.

    6. S. Benabdelkader and F. Melgani, “Contextual Spatiospectral Postreconstruction of Cloud-Contaminated Images”, IEEE Geoscience and Remote Sensing Letters, vol. 5, no. 2, pp. 204-208, April 2008.

    7. N. Ghoggali and F. Melgani, “Genetic SVM Approach to Semisupervised Multitemporal Classification”, IEEE Geoscience and Remote Sensing Letters, vol. 5, no. 2, pp. 212-216, April 2008.

  • 2007

    1. Y. Bazi and F. Melgani, “Semisupervised PSO-SVM Regression for Biophysical Parameter Estimation”, IEEE Transactions on Geoscience and Remote Sensing, vol. 45, no. 6, pp. 1887-1895, June 2007.

    2. Y. Bazi, L. Bruzzone, and F. Melgani, “Image Thresholding based on the EM Algorithm and the Generalized Gaussian Distribution”, Pattern Recognition, vol. 40, no. 2, pp. 619-634, February 2007.

    3. F. Melgani, R. Benzid, and F.G.B. De Natale, “Near-Lossless Spread Spectrum Watermarking for Multispectral Remote Sensing Images”, Journal of Applied Remote Sensing, vol. 1, #013501, January 2007.

  • 2006

    1. Y. Bazi and F. Melgani, “Toward an Optimal SVM Classification System for Hyperspectral Remote Sensing Images”, IEEE Transactions on Geoscience and Remote Sensing, vol. 44, no. 11, pp. 3374-3385, November 2006.

    2. F. Melgani and Y. Bazi, “Markovian Fusion Approach to Robust Unsupervised Change Detection in Remotely Sensed Imagery”, IEEE Geoscience and Remote Sensing Letters, vol. 3, no. 4, pp. 457-461, October 2006.

    3. G. Boato, F.G.B. De Natale, C. Fontanari, and F. Melgani, “Hierarchical ownership and deterministic watermarking of digital images via polynomial interpolation”, Signal Processing: Image Communication, vol. 21, no. 7, pp. 573-585, August 2006.

    4. Y. Bazi, L. Bruzzone, and F. Melgani, “Automatic Identification of the Number and Values of Decision Thresholds in the Log-ratio Image for Change Detection in SAR Images”, IEEE Geoscience and Remote Sensing Letters, vol. 3, no. 3, pp. 349-353, July 2006.

    5. G. Camps-Valls, L. Bruzzone, J.L. Rojo-Alvarez, and F. Melgani, “Robust Support Vector Regression for Biophysical Variable Estimation from Remotely Sensed Images”, IEEE Geoscience and Remote Sensing Letters, vol. 3, no. 3, pp. 339-343, July 2006.

    6. F. Melgani, “Robust Image Binarization with Ensembles of Thresholding Algorithms”, Journal of Electronic Imaging, vol. 15, no. 2, #023010, May 2006.

    7. A. Palau, F. Melgani, and S.B. Serpico, “Cell Algorithms with Data Inflation for Nonparametric Classification”, Pattern Recognition Letters, vol. 27, no. 7, pp. 781-790, May 2006.

    8. F. Melgani, “Contextual Reconstruction of Cloud-Contaminated Multitemporal Multispectral Images”, IEEE Transactions on Geoscience and Remote Sensing, vol. 44, no. 2, pp. 442-455, February 2006.

  • 2005

    1. Y. Bazi, L. Bruzzone, and F. Melgani, “An Unsupervised Approach Based on the Generalized Gaussian Model to Automatic Change Detection in Multitemporal SAR Images”, IEEE Transactions on Geoscience and Remote Sensing, vol. 43, no. 4, pp. 874-887, April 2005.

    2. L. Bruzzone and F. Melgani, “Robust Multiple Estimator Systems for the Analysis of Biophysical Parameters from Remotely Sensed Data”, IEEE Transactions on Geoscience and Remote Sensing, vol. 43, no. 1, pp. 159-174, January 2005.

  • 2004

    1. F. Melgani and L. Bruzzone, “Classification of Hyperspectral Remote-Sensing Images with Support Vector Machines”, IEEE Transactions on Geoscience and Remote Sensing, vol. 42, no. 8, pp. 1778-1790, August 2004.

    2. F. Melgani, “Classification of multitemporal remote-sensing images by a fuzzy fusion of spectral and spatio-temporal contextual information”, International Journal of Pattern Recognition and Artificial Intelligence, vol. 18, no. 2, pp. 143-156, February 2004.

  • 2003

    1. F. Melgani, S. B. Serpico, “A Markov Random Field Approach to Spatio-Temporal Contextual Image Classification”, IEEE Transactions on Geoscience and Remote Sensing, vol. 41, no. 11, pp. 2478- 2487, November 2003.

    2. F. Melgani, S. B. Serpico, G. Vernazza, “Fusion of Multitemporal Contextual Information by Neural Networks for Multisensor Remote Sensing Image Classification”, Integrated Computer-Aided Engineering, vol. 10, no. 1, pp. 81-90, January 2003.

  • 2002

    1. F. Melgani, G. Moser, S. B. Serpico, “Unsupervised change detection methods for remote sensing images”, Optical Engineering,vol. 41, no. 12, pp. 3288-3297, December 2002.

    2. F. Melgani, S. B. Serpico, "A statistical approach to the fusion of the spectral and spatio-temporal contextual information for the classification of remote sensing images", Pattern Recognition Letters, vol. 23, no. 9, pp. 1053-1061, July 2002.

    3. M. Datcu, F. Melgani, A. Piardi, S. B. Serpico, "Multisource data classification with dependence trees", IEEE Transactions on Geoscience and Remote Sensing, vol. 40, no. 3, pp. 609-617, March 2002.

  • 2001

    1. F. Melgani, B. A. R. Al Hashemy, S. M. R. Taha, "An evaluation of the explicit fuzzy method using parametric and non-parametric approaches for supervised classification of multispectral remote sensing data", Engineering Journal of the University of Qatar, vol. 14, pp. 77-104, 2001.

  • 2000

    1. F. Melgani, B. A. R. Al Hashemy, S. M. R. Taha, "An explicit fuzzy supervised classification method for multispectral remote sensing images", IEEE Trans. on Geoscience and Remote Sensing, vol. 38, no. 1, pp. 287-295, January 2000.

• Book Chapters
  • 2013

    1. F. Melgani and E. Pasolli, "Multiobjective PSO for Hyperspectral Image Clustering", in Computational Intelligence in Image Processing, editors: A. Chatterjee and P. Siarry, Springer, Chapter 14, pp. 265-280, 2013. (ISBN 978-3-642-30620-4)

  • 2004

    1. L. Bruzzone and F. Melgani, “Support Vector Machines for Classification of Hyperspectral Remote-Sensing Images in Multiclass Problems”, in Analysis and Classification of Remotely Sensed Hyperspectral Images, editor: G. Corsini, Pisa: Edizioni ETS, Chapter 3, pp. 60-70, 2004. (ISBN 88-467-1253-6)

  • 2003

    1. G. Moser, F. Melgani, S. B. Serpico, "Advances in unsupervised change detection", in Frontiers of Remote Sensing Information Processing, editor: C. H. Chen, Singapore: World Scientific Publishing, Chapter 18, pp. 405-426, 2003. (ISBN 981-238-344-1)

  • 2002

    1. F. Melgani, S.B. Serpico, “Contextual Classification of Remote Sensing Images with Markov Random Fields”, in Geospatial Pattern Recognition, India: Research Signpost/Transworld Research, pp. 106-116, 2002. (ISBN 81-7736-132-5)

• Conference Proceedings
  • 2015

    1. M. L. Mekhalfi and F. Melgani, "Sparse Modeling of the Land Use Classification Problem", Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2015, Milan, Italy, in press, July 2015.

    2. T. Moranduzzo, M. L. Mekhalfi and F. Melgani, "LBP-Based Multiclass Classification Method for UAV Imagery", Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2015, Milan, Italy, in press, July 2015.

    3. L. Lorenzi, F. Mattivi, J. Malacarne, F. Melgani, "E-Health System Adopting a Priority Index", 7th International Conference on e-Health, Las Palmas, Spain, July 2015.

    4. M. L. Mekhalfi, F. Melgani, M. A.-M. Salem, A. Khamis, S. Malek, A. Zeggada, "A SIFT-GPR Multi-Class Indoor Object Recognition Method for Visually Impaired People", Proc. of the International Conference on Industry Academia Collaboration (IAC2015), Cairo, Egypt, pp. 1-4, April 2015.

    5. T. Moranduzzo, A. Zeggada, F. Melgani, "A Fast Screening Method for Detecting Cars in UAV Images Over Urban Areas", Proc. of the Joint Urban Remote Sensing Event (JURSE2015), Lausanne, Switzerland, pp. 1-4, March 2015.

  • 2014

    1. M. M. Shalaby, M. A.-M. Salem, A. Khamis, F. Melgani, "Geometric Model for Vision-based Door Detection", 9th IEEE International Conference on Computer Engineering and Systems (ICCES14), Cairo, Egypt, December 2014.

    2. L. Lorenzi, F. Mattivi, J. Malacarne, F. Melgani, "Integrating Telemedicine Systems with Active Learning Solutions", European Congress on e-Cardiology & e-Health, Bern, Switzerland, October 2014.

    3. T. Moranduzzo and F. Melgani, "Car Speed Estimation Method for UAV Images", Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2014, Québec, Canada, pp. 4942-4945, 2014.

    4. T. Moranduzzo and F. Melgani, "Monitoring Structural Damages in Big Industrial Plants with UAV Images", Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2014, Québec, Canada, pp. 4950-4953, 2014.

    5. L. Lorenzi, J. Malacarne, F. Mattivi, F. Melgani, "An Advanced Infrastructure Design for Reducing the Gap Between Patients and Doctors", 2nd International workshop on Personal Health Records and Patient-Oriented Infrastructures, Trento, Italy, June 2014.

    6. M. L. Mekhalfi, F. Melgani, M. A.-M. Salem, A. Khamis, "A Fast and Comprehensive Indoor Scene Understanding Approach for Blind People", 6th International Conference on Computational Intelligence, Communication Systems and Networks (CICSyN 2014), Tetovo, Macedonia Republic, May 2014.

    7. M. L. Mekhalfi, F. Melgani, P. Calanca, F. G. B. De Natale, M. A.-M. Salem, A. Khamis, "An Indoor Guidance System for Blind People", Proc. of the International Conference on Industry Academia Collaboration (IAC2014), Cairo, Egypt, March 2014.

  • 2013

    1. L. Lorenzi, F. Melgani and G. Mercier, "Contextual Genetic Algorithm for Compressive Sensing Reconstruction of VHR Images", Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2013, Melbourne, Australia, pp. 4150-4153, July 2013.

    2. L. Lorenzi, G. Mercier, and F. Melgani, "Adaptive Basis Pursuit Compressive Sensing Reconstruction with Histogram Matching", Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2013, Melbourne, Australia, pp. 872-875, July 2013.

    3. T. Moranduzzo and F. Melgani, "Comparison of Different Feature Detectors and Descriptors for Car Classification in UAV Images", Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2013, Melbourne, Australia, pp. 204-207, July 2013.

    4. T. Moranduzzo and F. Melgani, "An Object Detection Technique for Very High Resolution Remote Sensing Images", Proc. of the 8th International Workshop on Systems, Signal Processing and their Applications WoSSPA-2013, Algiers, Algeria, pp. 79-83, May 2013.

    5. F. Douak, N. Benoudjit, and F. Melgani, "Design of a Multiblock General Regression Neural Network for Wind Speed Prediction in Algeria", Proc. of the 8th International Workshop on Systems, Signal Processing and their Applications WoSSPA-2013, Algiers, Algeria, pp. 390-395, May 2013.

  • 2012

    1. E. Pasolli and F. Melgani, "An Approach for Classifying large Scale Images", Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2012, Munich, Germany, in press, July 2012.

    2. T. Moranduzzo and F. Melgani, "A SIFT-SVM Method for Detecting Cars in UAV Images", Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2012, Munich, Germany, in press, July 2012.

    3. L. Lorenzi, F. Melgani and G. Mercier, "Orthogonal Matching Pursuit for VHR Image Reconstruction", Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2012, Munich, Germany, in press, July 2012.

    4. L. Lorenzi, F. Melgani and G. Mercier, "Some Criteria to Assess the Reconstructibility of Shadow Areas", Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2012, Munich, Germany, in press, July 2012.

    5. F. Douak, F. Melgani, E. Pasolli and N. Benoudjit, "SVR Active Learning for Product Quality Control", Proc. of the 11th International Conference on Information Science, Signal Processing and their Applications, Montreal, Quebec, Canada, July 2012.

  • 2011

    1. E. Pasolli and F. Melgani, "Gaussian Process Regression within an Active Learning Scheme", Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2011, Vancouver, Canada, pp. 3574-3577, July 2011.

    2. E. Pasolli, F. Melgani, D. Tuia, F. Pacifici, W. J. Emery, "Improving Active Learning Methods Using Spatial Information", Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2011, Vancouver, Canada, pp. 3923-3926, July 2011.

    3. E. Pasolli and F. Melgani, "Ground-Truth Assisted Design for Remote Sensing Image Classification", Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2011, Vancouver, Canada, pp. 609-612, July 2011.

    4. L. Lorenzi, F. Melgani, and G. Mercier, "Multiresolution Inpainting for Reconstruction of Missing data in VHR Images", Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2011, Vancouver, Canada, pp. 531-534, July 2011.

  • 2010

    1. F. Melgani, G. Mahlknecht, E. Pasolli, E. Gottardini, A. Cristofori, F. Cristofolini, N. La Porta, "Exploiting Ozone concentration measurements from satellite remote sensors for forest monitoring: a feasibility study", International Forestry Review 12 (5), 336, Forests for the Future XXIII IUFRO World Congress, Seoul, South Korea, 23-28 August 2010.

    2. E. Pasolli and F. Melgani, "Model-Based Active Learning for SVM Classification of Remote Sensing Images", Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2010, Honolulu, Hawaii, USA, pp. 820-823, July 2010.

    3. Y. Bazi and F. Melgani, "Semisupervised Gaussian Process Regression for Biophysical Parameter Estimation", Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2010, Honolulu, Hawaii, USA, pp. 4248-4251, July 2010.

  • 2009

    1. A. Daamouche, F. Melgani, and L. Hamami, "Optimizing Wavelets for Hyperspectral Image Classification", Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2009, Cape Town, South Africa, vol. 2, pp. 302-305, July 2009.

    2. A. Paoli, F. Melgani, and E. Pasolli, "Swarm Intelligence for Unsupervised Classification of Hyperspectral Images", Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2009, Cape Town, South Africa, vol. 5, pp. 96-99, July 2009.

    3. E. Pasolli, F. Melgani, and M. Donelli, "A Pattern Recognition System for Extracting Buried Object Characteristics in GPR Images", Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2009, Cape Town, South Africa, vol. 4, pp. 430-433, July 2009.

    4. Y. Bazi and F. Melgani, "A Variational Level-Set Method for Unsupervised Change Detection in Remote Sensing Images", Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2009, Cape Town, South Africa, vol. 2, pp. 984-987, July 2009.

    5. Y. Bazi, F. Melgani, and H. Al-Sharari, "An Automatic Method for Counting Olive Trees in Very High Spatial Remote Sensing Images", Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2009, Cape Town, South Africa, vol. 2, pp. 125-128, July 2009.

    6. N. Ghoggali, F. Melgani, and R. Attoui, "Supporting Archaeological Exploration with Optical Remote Sensing Technology", Colloque International sur l'Archéologie, Tebessa, Algeria, April 25-29, 2009.

    7. E. Pasolli, F. Melgani, M. Donelli, R. Attoui, and M. De Vos, "A Pattern Recognition System for Archaeological Exploration with GPR Images", Colloque International sur l'Archéologie, Tebessa, Algeria, April 25-29, 2009.

    8. C. Sun, F. Melgani, L. Zhang, C. Zhou, F.G.B. De Natale, X. Liu, "Comparison of Data Fusion in Different Color Spaces for Color Iris Recognition", Proc. of the IASTED International Conference on Signal Processing, Pattern Recognition and Applications - SPPRA 2009, Innsbruck, Austria, pp. 7-12, February 2009.

  • 2008

    1. F. Melgani and Y. Bazi, “A Pattern Recognition Method for Arrhythmia Detection in ECG Signals”, International Conference on Electrical Engineering Design & Technologies, Hammamet, Tunisia, Nov. 8-10, 2008.

    2. L. Douha, N. Benoudjit, and F. Melgani, “Support Vector Regression in Spectrophotometry: An Experimental Study”, International Conference on Electrical Engineering Design & Technologies, Hammamet, Tunisia, Nov. 8-10, 2008.

    3. C. Sun, F. Melgani, C. Zhou, F.G.B. De Natale, L. Zhang, X. Liu, “Semi-Supervised Learning Based Color Iris Recognition”, Proc. of the Joint International Conference on Natural Computation and on Fuzzy Systems and Knowledge Discovery ICNC’08-FSKD'08, Jinan, China, in press, October 2008.

    4. F. Melgani and Y. Bazi, “Detecting Premature Ventricular Contractions in ECG Signals with Gaussian Processes”, Proc. of the 35th annual Computers in Cardiology Conference, Bologna, Italy, in press, September 2008.

    5. N. Ghoggali and F. Melgani, “A Genetic Automatic Ground-Truth Validation Method for Multispectral Remote Sensing Images”, Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2008, Boston, USA, in press, July 2008.

    6. Y. Bazi and F. Melgani, “Classification of Hyperspectral Remote Sensing Images using Gaussian Processes”, Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2008, Boston, USA, in press, July 2008.

    7. E. Pasolli, F. Melgani, M. Donelli, R. Attoui, and M. De Vos, “Automatic Detection and Classification of Buried Objects in GPR Images using Genetic Algorithms and Support Vector Machines”, Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2008, Boston, USA, in press, July 2008.

    8. L. Pasolli, F. Melgani, and E. Blanzieri, “Estimating Biophysical Parameters from Remotely Sensed Imagery with Gaussian Processes”, Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2008, Boston, USA, in press, July 2008.

    9. F. Melgani and Y Bazi, “Evolutionary Computation Approach to ECG Signal Classification”, Proc. of Biosignals 2008, Funchal - Madeira, Portugal, vol. 1, pp. 19-24, January 2008.

  • 2007

    1. N. Benoudjit, H. Bouzgou, and F. Melgani, “Combination of Multiple Estimators for Hyperdimensional Data Analysis”, International Conference on Electrical Engineering Design & Technologies, Hammamet, Tunisia, Nov. 4-6, 2007.

    2. N. Ghoggali and F. Melgani, “Semi-Supervised Multitemporal Classification with Support Vector Machines and Genetic Algorithms”, Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2007, Barcelona, Spain, pp.

       2577-2580, July 2007.

    3. Y Bazi and F. Melgani, “A Multiobjective PSO Inflation Methodology for SVM Regression with Limited Training Samples”, Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2007, Barcelona, Spain, pp.

       4360-4363, July 2007.

    4. S. Benabdelkader, F. Melgani, and M. Boulemden, “Cloud-Contaminated Image Reconstruction with Contextual Spatio-Spectral Information”, Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2007, Barcelona, Spain, pp.

       373-376, July 2007.

    5. M. Donelli, M. Benedetti, P. Rocca, F. Melgani, A. Massa, “Three Dimensional Electromagnetic Sub-Surface Sensing by Means of a Multi-Step SVM-based Classification Technique", IEEE International Symposium on Antennas and Propagation, Honolulu, Hawaii USA, June 10-15, pp.

       1801-1804 , 2007.

    6. Y. Bazi and F. Melgani, “A Novel System Based on Particle Swarm Optimization and Support Vector Machine for the Estimation of Biophysical Parameters from Remote Sensing Images”, Proc. of the IEEE-International Conference on Communication, Computer and Power (ICCCP’07), Muscat, Sultanate of Oman, February 19-21, 2007.

  • 2006

    1. N. Ghoggali, Y Bazi and F. Melgani, “A Multiobjective Genetic Data Inflation Methodology for Support Vector Machine Classification”, Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2006, Denver, USA, pp. 3927-3930, July 2006.

    2. F. Melgani and Y. Bazi, “Robust Unsupervised Change Detection with Markov Random Fields”, Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2006, Denver, USA, pp. 208-211, July 2006.

    3. E. Blanzieri and F. Melgani, “An Adaptive SVM Nearest Neighbor Classifier for Remotely Sensed Imagery”, Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2006, Denver, USA, pp. 3931-3934, July 2006.

  • 2005

    1. Y. Bazi, L. Bruzzone, and F. Melgani, “Automatic Analysis of the Log-ratio Image for the Detection of Multiple Changes in Multitemporal SAR Images”, Proc. of the SPIE Conference on Image and Signal Processing for Remote Sensing XI, Bruges, Belgium, vol. 5982, pp. 264-273, September 2005.

    2. G. Boato, C. Fontanari, and F. Melgani, “Hierarchical Deterministic Image Watermarking via Polynomial Interpolation”, Proc. of the IEEE-International Conference on Image Processing ICIP-2005, Genoa, Italy, vol. 1, pp. 229-232, September 2005.

    3. F. Melgani and R. Benzid, “A Near-Lossless Spread Spectrum Watermarking Technique for Remote Sensing Imagery”, Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2005, Seoul, Korea, vol. 5, pp. 3231-3234, July 2005.

    4. F. Melgani, “Reconstruction of Cloud-Contaminated Multitemporal Optical Images with a Contextual Prediction Method”, Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2005, Seoul, Korea, vol. 6, pp. 4248-4251, July 2005.

    5. Y. Bazi, L. Bruzzone, and F. Melgani, “Change Detection in Multitemporal SAR Images Based on the EM-GA Algorithm and Markov Random Fields”, Proc. of the 3rd Int. Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp 2005), Biloxi, Mississippi, USA, May 2005.

  • 2004

    1. Y. Bazi, L. Bruzzone, and F. Melgani, “Change Detection in Multitemporal SAR Images Based on Generalized Gaussian Distribution and EM Algorithm”, Proc. of the SPIE Conference on Image and Signal Processing for Remote Sensing X, Gran Canaria, Spain, vol. 5573, pp. 364-375, September 2004.

    2. Y. Bazi, L. Bruzzone, and F. Melgani, “A Novel Technique for Unsupervised Change Detection in Multitemporal SAR Images”, 35th COSPAR Scientific Assembly, Paris, France, 18-25 July 2004.

    3. F. Melgani and L. Bruzzone, “Estimation of Biophysical Parameters from Optical Remote-Sensing Images with High-Order Residues”, Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2004, Anchorage, USA, vol. 2, pp. 1479-1482, September 2004.

    4. L. Bruzzone, L. Carlin, and F. Melgani, “A Multilevel Hierarchical Approach to Classification of High Spatial Resolution Images with Support Vector Machines”, Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2004, Anchorage, USA, vol. 1, pp. 540-543, September 2004.

    5. Y. Bazi, L. Bruzzone, and F. Melgani, “An Approach to Unsupervised Change Detection in Multitemporal SAR Images Based on the Generalized Gaussian Distribution”, Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2004, Anchorage, USA, vol. 2, pp. 1402-1405, September 2004.

  • 2003

    1. F. Melgani and L. Bruzzone, “Estimation of Biophysical parameters from remote-sensing data: a fusion-based approach”, Proc. of the 2003 Tyrrhenian International Workshop on Remote Sensing, Elba Island, Italy, pp. 685-695, September 2003.

    2. L. Bruzzone, F. Melgani, “Classification of Hyperspectral Images with Support Vector Machines: Multiclass Strategies”, Proc. of the SPIE Conference on Image and Signal Processing for Remote Sensing IX, Barcelona, vol. 5238, pp. 408-419, 2003.

    3. L. Bruzzone, L. Carlin, F. Melgani, “A residual based approach to classification of remote sensing images”, Proc. of the IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, NASA Goddard Visitor Center, Greenbelt MD, USA, pp. 417 - 423, October 2003.

    4. L. Bruzzone and F. Melgani, “An Advanced Classification System Based on the Back-Propagation of Consensus”, Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2003, Toulouse, France, vol. 3, pp. 1785-1787, July 2003.

    5. F. Melgani and L. Bruzzone, “A Residual-Based Technique for the Estimation of Biophysical Parameters from Remote-Sensing Images”, Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2003, Toulouse, France, vol. 1, pp. 476-478, July 2003.

    6. L. Bruzzone and F. Melgani, “A Data Fusion Approach to Unsupervised Change Detection”, Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2003, Toulouse, France, vol. 2, pp. 1374-1376, July 2003.

  • 2002

    1. F. Melgani, L. Bruzzone, “Support vector machines for classification of hyperspectral remote-sensing images”,

       Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2002, Toronto, vol. 1, pp. 506-508, June 2002.

    2. L. Bruzzone, F. Melgani, “Multiple Estimator Systems for the Analysis of  Water Quality Parameters”, Proc. of the SPIE Conference on Image and Signal Processing for Remote Sensing VIII, Crete, Greece, vol. 4885, pp. 139-151, September 2002.

    3. S. B. Serpico, M. D’Incà, F. Melgani, G. Moser, “Comparison of feature reduction techniques for classification of hyperspectral remote sensing data”, Proc. of the SPIE Conference on Image and Signal Processing for Remote Sensing VIII, Crete, Greece, vol. 4885, pp. 347-358, September 2002.

    4. G. Moser, F. Melgani, S. B. Serpico, A. Caruso, “Partially supervised detection of changes from remote sensing images”, Proc. of the

       IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2002, Toronto, vol. 1, pp. 299-301, June 2002.
  • 2001

    1. F. Melgani, S. B. Serpico, “Proposal of Different Approaches to Spatio-Temporal Contextual Classification of Remote-Sensing Images”, Proc. of the 1st Int. Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp 2001), Trento, Italy, vol. 2, pp. 91-99, September 2001.

    2. F. Melgani, G. Moser, S. B. Serpico, “Unsupervised Change Detection Methods for Remote Sensing Images”, Proc. of the SPIE Conference on Image and Signal Processing for Remote Sensing VII, Toulouse, France, vol. 4541, pp. 211-222, September 2001.

    3. F. Melgani, S. B. Serpico “A Mutual Approach based on Markov Random Fields for Multitemporal Contextual Classification of Remote Sensing Images”, Proc. of the

       IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2001, Sydney, vol. 7, pp. 2949-2951, July 2001.

    4. F. Melgani, S. B. Serpico, G. Vernazza, “Fusion of Multitemporal Contextual Information by Neural Networks for Multisensor Image Classification”, Proc. of the

       IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2001, Sydney, vol. 7, pp. 2952-2954, July 2001.

    5. F. Melgani, S. B. Serpico, F. Caltagirone, R. Vigliotti, "Fusion of multisensor remote sensing data for management of natural disasters", Proc. of the 4a National Conference of ASITA, Genoa, Italy, vol. II, pp. 1081-1086, October 2000.

  • 2000

    1. F. Melgani, S. B. Serpico, F. Caltagirone, R. Vigliotti, "Fusion of the multi-sensor data of the COSMO-SkyMed mission", Proc. of the Research and Technology Organization Meeting of the Symposium on Space-Based Observation Technology (NATO RTO MP-61), Samos Island, Greece, pp. 52.1-52.9, October 2000.

    2. F. Melgani, S. B. Serpico, "A statistical approach to the fusion of the spectral and spatio-temporal contextual information for the classification of remote sensing images", Proc. of the 1st Pattern Recognition for Remote Sensing Workshop (PRRS 2000), Andorra, pp. 56-61, September 2000.

    3. A. Piardi, F. Melgani, S. B. Serpico, M. Datcu, "Multisensor data classification with dependence trees", Proc. of the SPIE Conference on Image and Signal Processing for Remote Sensing VI, Barcelona, Spain, vol. 4170, pp. 151-159, September 2000.
    4. B. Serpico, F. Melgani, "A fuzzy spatio-temporal contextual classifier for remote sensing images", Proc. of the IEEE-International Geoscience and Remote Sensing Symposium IGARSS-2000, Hawaii, USA, vol. 5, pp. 2438-2440, July 2000.