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Marine big data Dongmei Huang, Wei Song, Guoliang Zou, Shanghai Ocean University, China.

By: Material type: TextTextDescription: pages cmISBN:
  • 9789811202483 (hardcover)
Uniform titles:
  • Hai yang da shu ju
  • English.
Subject(s): DDC classification:
  • 551.460 23 HUA
Contents:
Historical evolution of marine data -- Acquisition and characteristics of marine big data -- Classification of marine big data -- Research on the key technologies of marine big data application -- Application of marine big data in Shanghai storm surge disaster assistant decision - -- Making system -- Monitoring of ocean oil spills based on marine remote sensing big data -- Marine big data application on sea ice classification with deep learning -- Future development trend of ocean big data. Contents Chapter 1 Historical Evolution of Marine Data 1.1 Traditional ocean data 1.2 From traditional oceanic data to large oceanic data 1.3 Present situation of ocean big data development References Chapter 2 Acquisition and Characteristics of Marine Big Data 2.1 Acquisition of marine big data 2.2 Characteristics of marine data References Chapter 3 Classification of Marine Big Data 3.1 Passively generated marine big data 3.2 Marine big data produced automatically References Chapter 4 Research on the Key Technologies of Marine Big Data Application 4.1 Storage of marine big data 4.2 Analysis and mining of marine big data 4.3 Quality control of marine big data 4.4 The security of marine big data References Chapter 5 Application of Marine Big Data in the Shanghai Storm Surge Disaster Assistant Decision-Making System 5.1 Application framework of marine big data under cloud computing platform 5.2 Analysis of the storm surge disaster forecast in Shanghai 5.3 Evaluation of storm surge disasters in Shanghai 5.4 Shanghai storm surge disaster assistant decision-making system 5.5 Application of 3D visualization technologies in storm surge disaster References Chapter 6 Monitoring of Ocean Oil Spills Based on Marine Remote Sensing Big Data 6.1 Research background of marine oil spills monitoring 6.2 Marine oil spills analysis and process for remote sensing images 6.3 Research on marine oil spills monitoring technology for cloud computing environment References Chapter 7 The Application of Marine Big Data to Sea Ice Classification with Deep Learning 7.1 Background of sea ice research 7.2 Methods of sea ice detection 7.3 Sea ice type classification based on deep learning 7.4 Conclusion References Chapter 8 Future Development Trends in Ocean Big Data 8.1 Prospects of marine big data processing technology 8.2 Prospects for application of marine big data References Index
Summary: "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"--
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Holdings
Item type Current library Collection Call number Status Date due Barcode
General Books General Books CUTN Central Library Sciences Non-fiction 551.460 HUA (Browse shelf(Opens below)) Available 44013
Browsing CUTN Central Library shelves, Shelving location: Sciences, Collection: Non-fiction Close shelf browser (Hides shelf browser)
551.46 BAS V.2 Hand book of oceanography 551.46 CHH Understanding the sea / 551.460 CUL Pioneers In Science Marine Science:The Po 551.460 HUA Marine big data 551.46 MAL Oceanography 551.46 MAL Oceanography 551.46 MAL Oceanography

Historical evolution of marine data -- Acquisition and characteristics of marine big data -- Classification of marine big data -- Research on the key technologies of marine big data application -- Application of marine big data in Shanghai storm surge disaster assistant decision - -- Making system -- Monitoring of ocean oil spills based on marine remote sensing big data -- Marine big data application on sea ice classification with deep learning -- Future development trend of ocean big data. Contents
Chapter 1 Historical Evolution of Marine Data
1.1 Traditional ocean data
1.2 From traditional oceanic data to large oceanic data
1.3 Present situation of ocean big data development
References
Chapter 2 Acquisition and Characteristics of Marine Big Data
2.1 Acquisition of marine big data
2.2 Characteristics of marine data
References
Chapter 3 Classification of Marine Big Data
3.1 Passively generated marine big data
3.2 Marine big data produced automatically
References
Chapter 4 Research on the Key Technologies of Marine Big Data Application
4.1 Storage of marine big data
4.2 Analysis and mining of marine big data
4.3 Quality control of marine big data
4.4 The security of marine big data
References
Chapter 5 Application of Marine Big Data in the Shanghai Storm Surge Disaster Assistant Decision-Making System
5.1 Application framework of marine big data under cloud computing platform
5.2 Analysis of the storm surge disaster forecast in Shanghai
5.3 Evaluation of storm surge disasters in Shanghai
5.4 Shanghai storm surge disaster assistant decision-making system
5.5 Application of 3D visualization technologies in storm surge disaster
References
Chapter 6 Monitoring of Ocean Oil Spills Based on Marine Remote Sensing Big Data
6.1 Research background of marine oil spills monitoring
6.2 Marine oil spills analysis and process for remote sensing images
6.3 Research on marine oil spills monitoring technology for cloud computing environment
References
Chapter 7 The Application of Marine Big Data to Sea Ice Classification with Deep Learning
7.1 Background of sea ice research
7.2 Methods of sea ice detection
7.3 Sea ice type classification based on deep learning
7.4 Conclusion
References
Chapter 8 Future Development Trends in Ocean Big Data
8.1 Prospects of marine big data processing technology
8.2 Prospects for application of marine big data
References
Index

"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"--

Includes bibliographical references.

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