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Keynote Lectures

Nationwide point clouds and 3D geo-information: creation and maintenance
George Vosselman, University of Twente, Netherlands

The enhancement of the visual perception of the deep sea environment as a key factor for smart and sustainable management
Jorge Miguel Alberto de Miranda, University of Lisbon, Portugal

Big Data Exploration: From Analytics to Zooming
Yannis Ioannidis, "Athena" Research & Innovation Center and University of Athens, Greece

 

Nationwide point clouds and 3D geo-information: creation and maintenance

George Vosselman
University of Twente
Netherlands
 

Brief Bio
George Vosselman (1963) is professor in Geo-Information Extraction with Sensor Systems. He graduated with honours from the Delft University of Technology, the Netherlands, in Geodetic Engineering in 1986. After his graduation he worked at the Institute of Photogrammetry of the University of Stuttgart, Germany, until 1992. In 1991 he obtained his PhD degree with honours from the Rheinische Friedrich Wilhelms University of Bonn, Germany. After a year as visiting scientist at the University of Washington, Seattle, USA, he was appointed professor of Photogrammetry and Remote Sensing at the Delft University of Technology in 1993. In 2004 he joined ITC, now a faculty of the University of Twente. George Vosselman is recipient of the Hansa Luftbild Award (1993), the ISPRS Otto von Gruber Award (2000), the Schwidefsky Medal (2012), and the Karl Kraus Medal (2012). He is board member of the Netherlands Geodetic Commission (NCG) and corresponding member of the German Geodetic Commission (DGK). From 2005 until 2012 he was Editor-in-Chief of the ISPRS Journal of Photogrammetry and Remote Sensing. As of 2012 he is head of the Department of Earth Observation Science.


Abstract
Over the past decades airborne laser scanning has been adopted as the technology for the acquisition of dense point clouds. In various countries nationwide point clouds have been established. The presentation will start with an overview over these developments as well as the procedures for quality control in point cloud acquisition. In the recent years dense matching in aerial imagery and Geiger and Single-Photon lidar emerged as alternatives for the traditional linear lidar. Investigations are done to understand the potential of these techniques for the creation of digital terrain models and digital surface models. Updating point clouds is usually done by simply scanning a whole area again. For nationwide point clouds this is costly. Strategies will be discussed to avoid re-scanning of a whole country, but still maintain the quality standards. The last part of the presentation will focus on the creation, use, and updating of nationwide 3D landscape models that were obtained by fusing point clouds with 2D object based geo-information.



 

 

The enhancement of the visual perception of the deep sea environment as a key factor for smart and sustainable management

Jorge Miguel Alberto de Miranda
University of Lisbon
Portugal
 

Brief Bio
Jorge Miguel Alberto de Miranda, President of IPMA, Full Professor of Geophysics at the University of Lisbon, former director of Instituto Dom Luiz (Associate Laboratory) from 2004 to 2011. Member of the General Council of the University of Lisbon since 2011. Vice-chairman of the European Center for Medium Range Weather Forecast. Member of the Executive Board of WMO RAVI. He studied at the University of Lisbon, where he graduated in 1981 in Physics Full Professor since 2011. His research activity is focused on Marine Geophysics and Natural Hazards, in particular tsunamis. He is author or co-author of more than 80 articles published in leading ISI journals, in particular Journal of Geophysical Research, Earth and Planetary Science Letters, Geophysical Research Letters and Nature, with more than 1100 citations. Corresponding member of the Lisbon Academy of Sciences.


Abstract
Available soon.



 

 

Big Data Exploration: From Analytics to Zooming

Yannis Ioannidis
"Athena" Research & Innovation Center and University of Athens
Greece
 

Brief Bio
Yannis Ioannidis (PhD, UC Berkeley, 1986 – MSc, Harvard University, 1983 – Diploma, National Technical University of Athens, 1982) is the President and General Director of the “Athena” Research and Innovation Center as well as a Professor at the Department of Informatics and Telecommunications of the University of Athens. His research interests include Database and Information Systems, Data and Text Analytics, Personalization and Social Networks, Data Science, and Data Infrastructures and Digital Repositories, topics on which he has published over 150 articles in leading journals and conferences and also holds three patents. His work is often motivated by data management problems that arise in industrial environments or in the context of other scientific fields (Life Sciences, Cultural Heritage, Biodiversity, Physical Sciences). He has been a (co-)coordinator of all the OpenAIRE projects and a partner in many other research and innovation projects, including the currently active EMOTIVE, MyHealthMyData, OpenMinTeD, EOSC, Capsella, OpenAIRE-Connect, eInfraCentral, Optique, Wholodance, BlueBRIDGE, WDAqua, MD-Paedigree, and the Human Brain Project. He is an ACM and IEEE Fellow, a member of Academia Europaea, and a recipient of several research and teaching awards. He has also served as the Chair of ACM SIGMOD. He is the Greek delegate to the European Strategy Forum on Research Infrastructures (ESFRI), a member of the ESFRI Executive Board, and the ESFRI representative to the e-Infrastructures Reflection Group (e-IRG).


Abstract
Data exploration is the process where users interact with datasets with one or more possibly intertwined, not necessarily concrete from the beginning goals in mind. In doing that, users may operate in a great variety of interaction modes, applying a great variety of functions on data, ranging from data analysis, cleaning, curation, and discovery, all the way to visualization, wrangling, and (syntactic and semantic) zooming. Next to user-initiated activity, very critical to successful explorations is also system-initiated activity, including background data processing, such as statistical, structural, or usage profiling and, based on that, guiding the user in the form of recommendations for any subsequent activity. In this talk, we present a general framework for data exploration, identify several research challenges that arise in that context, and give the highlights of our effort to address some of these challenges and develop a system that has the appropriate architecture and attempts to incorporate many elements of data exploration in a uniform fashion.



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