Title
Overview of the ImageCLEF 2017 Population Estimation (remote) task
Date Issued
01 January 2017
Access level
metadata only access
Resource Type
conference paper
Author(s)
Université de Toulouse
Publisher(s)
CEUR-WS
Abstract
Estimating population has many applications as planning disaster responses, communication infrastructure, or development activities. In 2017, ImageCLEF Lab introduced a new pilot task: the Population Estimation (or Remote) task which aims at estimating the population of an area of interest by exploring Copernicus earth observation data (i.e.free Sentinel-2 satellite images). In line with the goal of FabSpace 2.0 project, a European Unions initiative to bring Geo-Enthusiast together around the 6 European universities in collaboration with Business Incubation Centers, participated to this challenge. This paper presents the results that were obtained by the participants as well as a brief summary of some of the approaches that were used.
Volume
1866
Language
English
OCDE Knowledge area
Informática y Ciencias de la Información
Subjects
Scopus EID
2-s2.0-85029415723
Source
CEUR Workshop Proceedings
ISSN of the container
16130073
Sponsor(s)
This project received funding from the European Unions Horizon 2020 Research and Innovation programme under the Grant Agreement n693210. https://www.fabspace.eu/
2 FabSpace 2.0 is the open-innovation network for geodata-driven innovation by lever-aging Space data in particular, in Universities 2.0. This project received funding from the European Unions Horizon 2020 Research and Innovation program under the Grant Agreement no693210. More information at https://www.fabspace.eu/ and [6] 3 http://www.cartong.org/fr 4 The dataset is available on Zenodo with the DOI 10.5281/zenodo.804602 or on de-mand
Sources of information:
Directorio de Producción Científica
Scopus