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E-raamat: Marine Big Data

(Shanghai Ocean Univ, China), (Shanghai Ocean Univ, China), (Shanghai Ocean Univ, China)
  • Formaat: 364 pages
  • Ilmumisaeg: 08-Jul-2019
  • Kirjastus: World Scientific Publishing Co Pte Ltd
  • Keel: eng
  • ISBN-13: 9789811202506
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Marine Big DataSuurem pilt
  • Formaat: 364 pages
  • Ilmumisaeg: 08-Jul-2019
  • Kirjastus: World Scientific Publishing Co Pte Ltd
  • Keel: eng
  • ISBN-13: 9789811202506
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As the volume of marine big data has increased dramatically, one of the main concerns is how to fully exploit the value of such data in the development of marine economy and marine science and technology. The book covers data acquisition, feature classification, processing and applications of marine big data in evaluation and decision-making, using case studies such as storm surge and marine oil spill disaster.

About the Authors v
Preface vii
Foreword xi
Chapter 1 Historical Evolution of Marine Data
1(52)
1.1 Traditional ocean data
1(11)
1.2 From traditional oceanic data to large oceanic data
12(23)
1.3 Present situation of ocean big data development
35(13)
References
48(5)
Chapter 2 Acquisition and Characteristics of Marine Big Data
53(44)
2.1 Acquisition of marine big data
54(31)
2.2 Characteristics of marine data
85(8)
References
93(4)
Chapter 3 Classification of Marine Big Data
97(22)
3.1 Passively generated marine big data
98(13)
3.2 Marine big data produced automatically
111(4)
References
115(4)
Chapter 4 Research on the Key Technologies of Marine Big Data Application
119(62)
4.1 Storage of marine big data
119(9)
4.2 Analysis and mining of marine big data
128(20)
4.3 Quality control of marine big data
148(12)
4.4 The security of marine big data
160(18)
References
178(3)
Chapter 5 Application of Marine Big Data in the Shanghai Storm Surge Disaster Assistant Decision-Making System
181(66)
5.1 Application framework of marine big data under cloud computing platform
182(7)
5.2 Analysis of the storm surge disaster forecast in Shanghai
189(14)
5.3 Evaluation of storm surge disasters in Shanghai
203(15)
5.4 Shanghai storm surge disaster assistant decision-making system
218(12)
5.5 Application of 3D visualization technologies in storm surge disaster
230(14)
References
244(3)
Chapter 6 Monitoring of Ocean Oil Spills Based on Marine Remote Sensing Big Data
247(40)
6.1 Research background of marine oil spills monitoring
248(10)
6.2 Marine oil spills analysis and process for remote sensing images
258(13)
6.3 Research on marine oil spills monitoring technology for cloud computing environment
271(11)
References
282(5)
Chapter 7 The Application of Marine Big Data to Sea Ice Classification with Deep Learning
287(34)
7.1 Background of sea ice research
287(7)
7.2 Methods of sea ice detection
294(3)
7.3 Sea ice type classification based on deep learning
297(17)
7.4 Conclusion
314(1)
References
315(6)
Chapter 8 Future Development Trends in Ocean Big Data
321(16)
8.1 Prospects of marine big data processing technology
321(5)
8.2 Prospects for application of marine big data
326(8)
References
334(3)
Index 337
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