Nicolas H Younan
Mississippi State University
USA
Title: Information retrieval from Earth Observation (EO) imagery
Biography
Biography: Nicolas H Younan
Abstract
Earth Observations (EO) data are obtained from a multitude of sources and requires tremendous efforts and coordination among researchers and user groups to come to a shared understanding on a set of concepts involved in a domain. The ultimate goal of any EO system is to provide understanding, which will often require expertise and/or data sources from globally distributed resources, thus presenting unique challenges. To address these challenges, it is incumbent upon the global community to evolve and sustain a global observation network. These observations serve as the foundation for the models that are used to describe Earth processes. As this observational data accumulates in global archives, new opportunities become available for knowledge discovery about the Earth system. However, access to these observational data is optimized for the science teams for whom the instruments were launched and access by operational users may be problematic. This presentation will lay out some of the challenges for those engineers and scientists involved in pattern recognition in the Earth remote sensing arena. It describes the problem space for making decisions and introduces the concept of contextual remote sensing.
