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AI4EU Web Café : « CANDELA EO Data Mining Tools : a tutorial » (15h00)
6 mai 2020 de 15 h 00 min
On May 6th, 2020, at 3:00 pm
Mihai Datcu (DLR, Germany) will present the live AI4EU Web Café Session themed :
« CANDELA EO Data Mining Tools : a tutorial »
Description of his live presentation :
With the advent of the Copernicus program with open and free Big Data access the Earth Observation (EO) application and service development domain is increasingly adopting Artificial Intelligence technologies. In the frame of the H2020 project Copernicus Access Platform Intermediate Layers Small Scale Demonstrator: CANDELA* are developed efficient data and information retrieval techniques and tools as Data Mining augmented with Machine Learning to create more value and subsequently economic growth and development of European members states. This is a tutorial of the CANDELA Data Mining tools. The presentation gives an insight of Machine Learning principles with focus on Active Learning implementing EO Data Mining functions. The CANDELA Data Mining tools are described and demonstrated for Sentinel 2 observations. The tools operate similarly for Sentinel 1.
Mihai Datcu received the M.S. and Ph.D. degrees in Electronics and Telecommunications from the University Politechnica Bucharest UPB, Romania, in 1978 and 1986. In 1999 he received the title Habilitation à diriger des recherches in Computer Science from University Louis Pasteur, Strasbourg, France. Currently he is Senior Scientist and Data Intelligence and Knowledge Discovery research group leader with the Remote Sensing Technology Institute (IMF) of the German Aerospace Center (DLR), Oberpfaffenhofen, and Professor with the Department of Applied Electronics and Information Engineering, Faculty of Electronics, Telecommunications and Information Technology, UPB. From 1992 to 2002 he had a longer Invited Professor assignment with the Swiss Federal Institute of Technology, ETH Zurich. From 2005 to 2013 he has been Professor holder of the DLR-CNES Chair at ParisTech, Paris Institute of Technology, Telecom Paris. His interests are in Data Science, Machine Learning and Artificial Intelligence, and Computational Imaging for space applications. He is involved in Big Data from Space European, ESA, NASA and national research programs and projects. He is a member of the ESA Big Data from Space Working Group. He received in 2006 the Best Paper Award, IEEE Geoscience and Remote Sensing Society Prize, in 2008 the National Order of Merit with the rank of Knight, for outstanding international research results, awarded by the President of Romania, and in 1987 the Romanian Academy Prize Traian Vuia for the development of SAADI image analysis system and activity in image processing. He is IEEE Fellow. He was awarded the 2017 Chaire d’excellence internationale Blaise Pascal for EO Data Science.