Big Data for Remote Sensing: Visualization, Analysis and Interpretation PDF
By:Nilanjan Dey,Chintan Bhatt,Amira S. Ashour
Published on 2018-06-01 by Springer
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.
This Book was ranked at 2 by Google Books for keyword medical assistant computer software.
Book ID of Big Data for Remote Sensing: Visualization, Analysis and Interpretation's Books is JR1cswEACAAJ, Book which was written byNilanjan Dey,Chintan Bhatt,Amira S. Ashourhave ETAG "rnPqKHur/U0"
Book which was published by Springer since 2018-06-01 have ISBNs, ISBN 13 Code is 9783319899220 and ISBN 10 Code is 3319899228
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Book which have "154 Pages" is Printed at BOOK under CategoryScience
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