語系/ Language:
繁體中文
English
KMU OLIS
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Big data analytics for satellite ima...
~
Sevugan, Prabu, (1981-)
Big data analytics for satellite image processing and remote sensing
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Big data analytics for satellite image processing and remote sensing/ P. Swarnalatha and Prabu Sevugan, editors.
其他作者:
Sevugan, Prabu,
出版者:
Hershey, Pennsylvania :IGI Global, : [2018],
面頁冊數:
1 online resource (xix, 253 p.)
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"--
標題:
Artificial satellites - Optical observations -
電子資源:
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:
433655
Artificial satellites
--Optical observations
LC Class. No.: GA102.4.E4 / B54 2018e
Dewey Class. No.: 621.36/7028557
Big data analytics for satellite image processing and remote sensing
LDR
:02335nam a2200277 a 4500
001
314554
003
IGIG
005
20181029105617.0
006
m o d
007
cr cn
008
181108s2018 pau fob 001 0 eng d
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
Artificial satellites
$x
Optical observations
$x
Data processing.
$3
433655
650
0
$a
Image processing
$x
Digital techniques.
$3
289173
650
0
$a
Artificial satellites in remote sensing.
$3
433654
650
0
$a
Big data.
$3
387512
650
0
$a
Geospatial data.
$3
404871
700
1
$a
Sevugan, Prabu,
$d
1981-
$e
editor.
$3
433653
700
1
$a
Swarnalatha, P.
$q
(Purushotham),
$d
1977-
$e
editor.
$3
433652
856
4 0
$u
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-3643-7
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得,請勿在此評論區張貼涉及人身攻擊、情緒謾罵、或內容涉及非法的不當言論,館方有權利刪除任何違反評論規則之發言,情節嚴重者一律停權,以維護所有讀者的自由言論空間。
Export
取書館別
處理中
...
變更密碼
登入