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Big data analytics for satellite ima...

Swarnalatha, P. (1977-)

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Big data analytics for satellite image processing and remote sensing

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data analytics for satellite image processing and remote sensing/ P. Swarnalatha and Prabu Sevugan, editors.
other author:	Swarnalatha, P.
Published:	Hershey, Pennsylvania :IGI Global, : [2018],
Description:	1 online resource (xix, 253 p.)
[NT 15003449]:	Chapter 1. New computational models for image remote sensing and big data -- Chapter 2. Big data computation model for landslide risk analysis using remote sensing data -- Chapter 3. Modified support vector machine algorithm to reduce misclassification and optimizing time complexity -- Chapter 4. An analysis of usage-induced big data -- Chapter 5. Glorified secure search schema over encrypted secure cloud storage with a hierarchical clustering computation -- Chapter 6. Research analysis of development pipelines in augmented and virtual reality technologies -- Chapter 7. Iterative mapreduce: i-MapReduce on medical dataset using Hadoop -- Chapter 8. Big data for satellite image processing: analytics, tools, modeling, and challenges -- Chapter 9. Big data processing: application of parallel processing technique to big data by using Mapreduce -- Chapter 10. Image processing CSE-4019 distinction between fake note and a real note.
Subject:	Geospatial data. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3643-7
ISBN:	9781522536444 (ebook)

Big data analytics for satellite image processing and remote sensing
Big data analytics for satellite image processing and remote sensing[electronic resource] /P. Swarnalatha and Prabu Sevugan, editors. - Hershey, Pennsylvania :IGI Global,[2018] - 1 online resource (xix, 253 p.)

Includes bibliographical references and index.

Chapter 1. New computational models for image remote sensing and big data -- Chapter 2. Big data computation model for landslide risk analysis using remote sensing data -- Chapter 3. Modified support vector machine algorithm to reduce misclassification and optimizing time complexity -- Chapter 4. An analysis of usage-induced big data -- Chapter 5. Glorified secure search schema over encrypted secure cloud storage with a hierarchical clustering computation -- Chapter 6. Research analysis of development pipelines in augmented and virtual reality technologies -- Chapter 7. Iterative mapreduce: i-MapReduce on medical dataset using Hadoop -- Chapter 8. Big data for satellite image processing: analytics, tools, modeling, and challenges -- Chapter 9. Big data processing: application of parallel processing technique to big data by using Mapreduce -- Chapter 10. Image processing CSE-4019 distinction between fake note and a real note.

Restricted to subscribers or individual electronic text purchasers.

"This book explores the difficulties and challenges that various fields have faced in implementing the technologies and applications. It addresses different aspects of using big data upon image processing for remote sensing and related topics and it explores the impact of such technologies on the applications in which this advanced technology is being implemented"--

ISBN: 9781522536444 (ebook)Subjects--Topical Terms:

630237
Geospatial data.

LC Class. No.: GA102.4.E4 / B54 2018e

Dewey Class. No.: 621.36/7028557

Big data analytics for satellite image processing and remote sensing
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010 $z 2017019875
020 $a 9781522536444 (ebook)
020 $a 9781522536437 (hardcover)
035 $a (OCoLC)1025267282
035 $a 1071025343
040 $a CaBNVSL $b eng $c CaBNVSL $d CaBNVSL
050 4 $a GA102.4.E4 $b B54 2018e
082 0 4 $a 621.36/7028557 $2 23
245 0 0 $a Big data analytics for satellite image processing and remote sensing $h [electronic resource] / $c P. Swarnalatha and Prabu Sevugan, editors.
260 $a Hershey, Pennsylvania : $b IGI Global, $c [2018]
300 $a 1 online resource (xix, 253 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. New computational models for image remote sensing and big data -- Chapter 2. Big data computation model for landslide risk analysis using remote sensing data -- Chapter 3. Modified support vector machine algorithm to reduce misclassification and optimizing time complexity -- Chapter 4. An analysis of usage-induced big data -- Chapter 5. Glorified secure search schema over encrypted secure cloud storage with a hierarchical clustering computation -- Chapter 6. Research analysis of development pipelines in augmented and virtual reality technologies -- Chapter 7. Iterative mapreduce: i-MapReduce on medical dataset using Hadoop -- Chapter 8. Big data for satellite image processing: analytics, tools, modeling, and challenges -- Chapter 9. Big data processing: application of parallel processing technique to big data by using Mapreduce -- Chapter 10. Image processing CSE-4019 distinction between fake note and a real note.
506 $a Restricted to subscribers or individual electronic text purchasers.
520 3 $a "This book explores the difficulties and challenges that various fields have faced in implementing the technologies and applications. It addresses different aspects of using big data upon image processing for remote sensing and related topics and it explores the impact of such technologies on the applications in which this advanced technology is being implemented"-- $c Provided by publisher.
650 0 $a Geospatial data. $3 630237
650 0 $a Big data. $3 2045508
650 0 $a Artificial satellites in remote sensing. $3 570852
650 0 $a Image processing $x Digital techniques. $3 532550
650 0 $a Artificial satellites $x Optical observations $x Data processing. $3 3311024
700 1 $a Swarnalatha, P. $q (Purushotham), $d 1977- $e editor. $3 3311022
700 1 $a Sevugan, Prabu, $d 1981- $e editor. $3 3311023
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3643-7