EAN: 9783319899220

BIG DATA FOR REMOTE SENSING VISUALIZATION ANALY...

This book thoroughly covers the remote sensing visualization and analysis techniques based on
computational imaging and vision in Earth science. Remote sensing is considered a significant
information source for monitoring and mapping natural and man-made land through the development
of sensor resolutions that committed different Earth observation platforms. The book includes
related topics for the different systems  models  and approaches used in the visualization of
remote sensing images. It offers flexible and sophisticated solutions for removing uncertainty
from the satellite data. It introduces real time big data analytics to derive intelligence
systems in enterprise earth science applications. Furthermore  the book integrates statistical
concepts with computer-based geographic information systems (GIS). It focuses on image
processing techniques for observing data together with uncertainty information raised by
spectral  spatial  and positional accuracy of GPS data. The book addresses several advanced
improvement models to guide the engineers in developing different remote sensing visualization
and analysis schemes. Highlights on the advanced improvement models of the supervised
unsupervised classification algorithms  support vector machines  artificial neural networks 
fuzzy logic  decision-making algorithms  and Time Series Model and Forecasting are addressed.
This book guides engineers  designers  and researchers to exploit the intrinsic design remote
sensing systems. The book gathers remarkable material from an international experts' panel to
guide the readers during the development of earth big data analytics and their challenges.

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