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The Contest is designed to investigate the potential of multi-modal/multi-temporal fusion of very high spatial resolution imagery. This year, participants will download three different sets of images (optical, SAR, and LIDAR) over the downtown of San Francisco and each participant will get to choose their own research topic to work with.
Participants will receive a collection of images provided by DigitalGlobe, Astrium Services, and USGS that includes very-high spatial resolution QuickBird, WorldView-2, TerraSAR-X, and LIDAR data. The optical and SAR data sets will be composed of a total of eight images from two acquisition times in 2007 and 2011.
ABOUT THE ORGANIZERS:
The Data Fusion Contest is organized by the Data Fusion Technical Committee of the Geoscience and Remote Sensing Society (GRSS) of the International Institute of Electrical and Electronic Engineers (IEEE). The DFTC serves as a global, multi-disciplinary, network for geospatial data fusion, connecting people and resources. It aims at educating students and professionals, and at promoting best practices in data fusion applications.The Contest is open not only to IEEE members, but to everyone, with the aim of evaluating existing methodologies at the research or operational level to solve remote sensing problems using data from different sensors.
For more information, and particate visit www.grss-ieee.org/community/technical-committees/data-fusion/data-fusion-contest/