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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.com

YEARS

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.edu

Nicolas H Younan

Mississippi State University, USA

BIOGRAPHY

Keynote Forum | Day 1