The explosive growth of remotely sensed data has posed serious challenges for its efficient processing in a timely fashion to support a variety of remote sensing applications. In recent years the distributed computing mechanisms offered by various high-performance computing platforms have gained popularity in the processing of remotely sensed big data. This webinar will review the latest developments, current issues and challenges in this area.
About the Panelists
Jón Atli Benediktsson (Fellow, IEEE) received the Cand.Sci. degree in electrical engineering from the University of Iceland, Reykjavik, Iceland, in 1984, and the M.S.E.E. and Ph.D. degrees in electrical engineering from Purdue University, West Lafayette, IN, USA, in 1987 and 1990, respectively. From 2009 to 2015, he was the Pro-Rector of science and academic affairs and a Professor of electrical and computer engineering at the University of Iceland. Since 2015, he has been the President and the Rector of the University of Iceland, Reykjavik. He is the Co-Founder of the biomedical start-up company Oxymap, Reykjavik. His research interests are remote sensing, biomedical analysis of signals, pattern recognition, image processing, and signal processing. He has extensively published in these fields. Prof. Benediktsson is a Fellow of SPIE. He was a member of the 2014 IEEE Fellow Committee. He is a member of the Association of Chartered Engineers in Iceland (VFI), Societas Scientiarum Islandica, and Tau Beta Pi. He was the 2011–2012 President of the IEEE Geoscience and Remote Sensing Society (GRSS) and has been on the GRSS AdCom since 2000. He received the Stevan J. Kristof Award from Purdue University in 1991 as an outstanding graduate student in remote sensing. In 1997, he was a recipient of the Icelandic Research Council’s Outstanding Young Researcher Award. In 2000, he received the IEEE Third Millennium Medal. In 2004, he was a co-recipient of the University of Iceland’s Technology Innovation Award. In 2006, he received the Yearly Research Award from the Engineering Research Institute of the University of Iceland, and in 2007, he received the Outstanding Service Award from the IEEE Geoscience and Remote Sensing Society. In 2013, he received the IEEE/VFI Electrical Engineer of the Year Award and the OECE Award from the School of Electrical and Computer Engineering (ECE), Purdue University, in 2016. In 2018, he received the GRSS David Landgrebe Award for outstanding contributions to image analysis in remote sensing. He received the Knight’s Cross of the Icelandic Order of the Falcon in 2021. Prof. Benediktsson was a co-recipient of the 2012 IEEE Transactions on Geoscience and Remote Sensing Paper Award and the IEEE GRSS Highest Impact Paper Award in 2013. In 2014, he was a co-recipient of the International Journal of Image and Data Fusion Best Paper Award. He was the Chairman of the Steering Committee of IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS) from 2007 to 2010. He was the Editor-in-Chief of the IEEE Transactions on Geoscience and Remote Sensing (TGRS) from 2003 to 2008. He has been serving as an Associate Editor for IEEE TGRS since 1999, IEEE Geoscience and Remote Sensing Letters since 2003, and IEEE Access since 2013. He is a Senior Editor of Proceedings of the IEEE and was on the Editorial Board of Proceedings from 2014 to 2019. He is on the International Editorial Board of the International Journal of Image and Data Fusion and the Editorial Board of Remote Sensing. He has been a Clarivate Analysis recognized highly cited researcher since 2018.
Zebin Wu (Senior Member, IEEE) received the B.Sc. and Ph.D. degrees in computer science and technology from the Nanjing University of Science and Technology, Nanjing, China, in 2003 and 2007, respectively. He was a Visiting Scholar with the Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, Escuela Politécnica, University of Extremadura, Cáceres, Spain, from June 2014 to June 2015. He was a Visiting Scholar with the Department of Mathematics, University of California at Los Angeles, Los Angeles, CA, USA, from August 2016 to September 2016, and from and July 2017 to August 2017. He was a Visiting Scholar with the GIPSA-lab, Grenoble INP, Grenoble, and University Grenoble Alpes, Grenoble, France, from August 2018 to September 2018. He is currently a Professor with the School of Computer Science and Engineering, Nanjing University of Science and Technology. He is also the Principal Investigator (PI) of three projects funded by the National/Provincial Natural Science Foundation of China. He also coordinated more than six scientific research projects, supported by the Chinese Ministry of Science and Technology, NSFC, and so on. He has authored 96 publications, including 45 JCR journal articles (26 in IEEE journals), and more than 36 peer-reviewed conference proceeding papers (31 in IEEE conferences). His research interests include hyperspectral image processing, parallel computing, and remotely sensed big data processing. Dr. Wu received the 2018 Young Teachers Award in Colleges and Universities of the Henry Fok Education Foundation. He has reviewed more than 80 articles for more than 19 different journals. He was a recipient of the recognition of Best Reviewers of IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing in 2019, for which he currently serves as an Associate Editor.
Antonio Plaza (Fellow, IEEE) received the M.Sc. and Ph.D. degrees in computer engineering from the University of Extremadura, Cáceres, Spain, in 1999 and 2002, respectively. He is currently the Head of the Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, University of Extremadura. He has authored more than 600 publications, including over 300 JCR journal articles (over 220 in IEEE journals), 23 book chapters, and around 300 peer-reviewed conference proceeding papers. His main research interests comprise hyperspectral data processing and parallel computing of remote sensing data. Prof. Plaza was a member of the Steering Committee of IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS). He is also a Fellow of IEEE “for contributions to hyperspectral data processing and parallel computing of Earth observation data.” He was a recipient of the Best Column Award of the IEEE Signal Processing Magazine in 2015, the 2013 Best Paper Award of the JSTARS, and the Most Highly Cited Paper (2005–2010) in the Journal of Parallel and Distributed Computing. He received best paper awards at the IEEE International Conference on Space Technology and the IEEE Symposium on Signal Processing and Information Technology. He was a recipient of the recognition of Best Reviewers of IEEE Geoscience and Remote Sensing Letters in 2009 and the recognition of Best Reviewers of IEEE Transactions on Geoscience and Remote Sensing in 2010, for which he served as Associate Editor from 2007 to 2012. He has guest-edited ten special issues on hyperspectral remote sensing for different journals. He is also an Associate Editor for IEEE Access (receiving recognition as an Outstanding Associate Editor of the journal in 2017). He has served as the Director of Education Activities for the IEEE Geoscience and Remote Sensing Society (GRSS) from 2011 to 2012 and the President of the Spanish Chapter of the IEEE GRSS from 2012 to 2016. He has reviewed more than 500 manuscripts for over 50 different journals. He has served as the Editor-in-Chief of IEEE Transactions on Geoscience and Remote Sensing from 2013 to 2017. He is also the Editor-in-Chief of IEEE Journal on Miniaturization for Air and Space Systems (J-MASS). He has been distinguished as a Highly Cited Researcher by Clarivate Analytics from 2018 to 2020. Additional information: http://www.umbc.edu/rssipl/people/aplaza.
Qian Du (Fellow, IEEE) received the Ph.D. degree in electrical engineering from the University of Maryland, Baltimore, MD, USA, in 2000. She is currently the Bobby Shackouls Professor with the Department of Electrical and Computer Engineering, Mississippi State University, Mississippi State, MS, USA. Her research interests include hyperspectral remote sensing image analysis and applications, pattern classification, neural networks, and high-performance computing. Dr. Du is a Fellow of the SPIE—International Society for Optics and Photonics. She was the Co-Chair of the Data Fusion Technical Committee of the IEEE Geoscience ad Remote Sensing Society from 2009 to 2013 and the Chair of the Remote Sensing and Mapping Technical Committee of the International Association for Pattern Recognition from 2010 to 2014. She has served as an Associate Editor for IEEE J1ournal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), Journal of Applied Remote Sensing, and IEEE Signal Processing Letters. From 2016 to 2020, she was the Editor-in-Chief of IEEE JSTARS. She also serves on the IEEE Periodicals Review and Advisory Committee (PRAC) and the SPIE Publications Committee.
Jun Li (Fellow, IEEE) received the B.S. degree in geographic information systems from Hunan Normal University, Changsha, China, in 2004, the M.E. degree in remote sensing from Peking University, Beijing, China, in 2007, and the Ph.D. degree in electrical engineering from the Instituto de Telecomunicações, Instituto Superior Técnico (IST), Universidade Técnica de Lisboa, Lisbon, Portugal, in 2011. She is currently a Full Professor with Sun Yat-sen University, Guangzhou, China. Her main research interests comprise remotely sensed hyperspectral image analysis, signal processing, supervised/semisupervised learning, and active learning. Prof. Li is also the Editor-in-Chief of IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. She has been a Guest Editor for several journals, including Proceedings of the IEEE and the ISPRS Journal of Photogrammetry and Remote Sensing.