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Big data for remote sensing = visual...

Dey, Nilanjan.

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Big data for remote sensing = visualization, analysis and interpretation : digital Earth and smart Earth /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data for remote sensing/ edited by Nilanjan Dey, Chintan Bhatt, Amira S. Ashour.
Reminder of title:	visualization, analysis and interpretation : digital Earth and smart Earth /
other author:	Dey, Nilanjan.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xiv, 154 p. :ill., digital ;24 cm.
[NT 15003449]:	(It will be properly included - PDF attached) Big data approach for managing the information from genomics, proteomics, and wireless sensing in e-Health -- Aerial and Satellite imagery and big data: blending old technologies with new trends -- Structure and Dynamics of Many-Particle Systems: Big Data Sets and Data Analysis -- Earth Science [Big] Data Analytics -- Retrieval of Urban Surface Temperature using Remote Sensing Satellite Imagery.
Contained By:	Springer eBooks
Subject:	Big data. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-89923-7
ISBN:	9783319899237

Big data for remote sensing = visualization, analysis and interpretation : digital Earth and smart Earth /
Big data for remote sensingvisualization, analysis and interpretation : digital Earth and smart Earth /[electronic resource] :edited by Nilanjan Dey, Chintan Bhatt, Amira S. Ashour. - Cham :Springer International Publishing :2019. - xiv, 154 p. :ill., digital ;24 cm.

(It will be properly included - PDF attached) Big data approach for managing the information from genomics, proteomics, and wireless sensing in e-Health -- Aerial and Satellite imagery and big data: blending old technologies with new trends -- Structure and Dynamics of Many-Particle Systems: Big Data Sets and Data Analysis -- Earth Science [Big] Data Analytics -- Retrieval of Urban Surface Temperature using Remote Sensing Satellite Imagery.

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.

ISBN: 9783319899237

Standard No.: 10.1007/978-3-319-89923-7doiSubjects--Topical Terms:

2045508
Big data.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

Big data for remote sensing = visualization, analysis and interpretation : digital Earth and smart Earth /
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245 0 0 $a Big data for remote sensing $h [electronic resource] : $b visualization, analysis and interpretation : digital Earth and smart Earth / $c edited by Nilanjan Dey, Chintan Bhatt, Amira S. Ashour.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xiv, 154 p. : $b ill., digital ; $c 24 cm.
505 0 $a (It will be properly included - PDF attached) Big data approach for managing the information from genomics, proteomics, and wireless sensing in e-Health -- Aerial and Satellite imagery and big data: blending old technologies with new trends -- Structure and Dynamics of Many-Particle Systems: Big Data Sets and Data Analysis -- Earth Science [Big] Data Analytics -- Retrieval of Urban Surface Temperature using Remote Sensing Satellite Imagery.
520 $a 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.
650 0 $a Big data. $3 2045508
650 0 $a Remote sensing $x Data processing. $3 567259
650 1 4 $a Geography. $3 524010
650 2 4 $a Geographical Information Systems/Cartography. $3 890881
650 2 4 $a Environmental Science and Engineering. $3 1569104
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 890871
650 2 4 $a Computational Mathematics and Numerical Analysis. $3 891040
700 1 $a Dey, Nilanjan. $3 2200043
700 1 $a Bhatt, Chintan. $3 3220575
700 1 $a Ashour, Amira S. $3 3220576
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856 4 0 $u http://dx.doi.org/10.1007/978-3-319-89923-7
950 $a Earth and Environmental Science (Springer-11646)