Earth Science 2019
Journal of EnvironmentalWaste Management and Recycling | Volume 2
Page 13
May 22-23, 2019 | Rome, Italy
EARTH SCIENCE,
RECYCLING & SPACE TECHNOLOGY
7
th
International Conference on
OF EXCELLENCE
IN INTERNATIONAL
MEETINGS
alliedacademies.comYEARS
INFORMATION RETRIEVAL FROM EARTH
OBSERVATION (EO) IMAGERY
E
arth 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 ac-
cess 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 con-
textual remote sensing.
Nicolas H Younan, J Environ Waste Management and Recycling 2019, Volume 2
Nicolas H Younan is the Department Head and
James Worth Bagley Chair of Electrical and Com-
puter Engineering at Mississippi State Univer-
sity. He received the B S and M S Degrees from
Mississippi State University, in 1982 and 1984
respectively, and the PhD degree from Ohio
University in 1988. He has been involved in the
development of advanced signal processing and
pattern recognition algorithms for data mining,
data fusion, feature extraction and classification
and automatic target recognition/identification.
He has published over 300 papers in journals,
referred conference proceedings and book chap-
ters. He is a senior member of IEEE and a member
of the IEEE Geoscience and Remote Sensing soci-
ety, serving on two technical committees: Image
Analysis and Data Fusion, and Earth Science In-
formatics (previously Data Archive and Distribu-
tion). He has served as the Chair, Co-Chair and as
an Editor for various national and international
conferences and workshops.
younan@ece.msstate.eduNicolas H Younan
Mississippi State University, USA
BIOGRAPHY
Keynote Forum | Day 1