大葉大學圖書館 |

Big data analytics for satellite image processing and remote sensing[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	621.36/7028557
書名/作者:	Big data analytics for satellite image processing and remote sensing/ P. Swarnalatha and Prabu Sevugan, editors.
其他作者:	Swarnalatha, P.
出版者:	Hershey, Pennsylvania : : IGI Global,, [2018]
面頁冊數:	1 online resource (xix, 253 p.)
標題:	Geospatial data.
標題:	Big data.
標題:	Artificial satellites in remote sensing.
標題:	Image processing - Digital techniques.
標題:	Artificial satellites - Optical observations
ISBN:	9781522536444 (ebook)
ISBN:	9781522536437 (hardcover)
書目註:	Includes bibliographical references and index.
內容註:	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.
摘要、提要註:	"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"--
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3643-7

Big data analytics for satellite image processing and remote sensing[electronic resource] /
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:

467016
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[electronic resource] /
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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 467016
650 0 $a Big data. $3 571002
650 0 $a Artificial satellites in remote sensing. $3 602938
650 0 $a Image processing $x Digital techniques. $3 365611
650 0 $a Artificial satellites $x Optical observations $x Data processing. $3 733190
700 1 $a Swarnalatha, P. $q (Purushotham), $d 1977- $e editor. $3 733188
700 1 $a Sevugan, Prabu, $d 1981- $e editor. $3 733189
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