Marine Big Data
海洋大数据

By Dongmei Huang (Shanghai Ocean University, China), Wei Song (Shanghai Ocean University, China), Guoliang Zou (Shanghai Ocean University, China)
 
400pp                                           
978-981-120-248-3                      US$138             £120
Release Date (Asia): May 2019
Release Date (Rest of the World): Jul 2019
 
http://www.worldscientific.com/worldscibooks/10.1142/11337
 
学科领域：计算机科学
 
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.
 
Key Features:

• This book not only introduces the technologies in the marine big data field but also provides real applications to demonstrate the use of marine big data and the technologies to solve important marine problems
• The major content of this book comes from the research outcomes of the authors and their team. It is valuable for other researchers in the related fields
• This book is the first comprehensive coverage on the concept of marine big data, the technologies of processing and analyzing the marine big data, and the applications using marine big data

 
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;
 

Readership: This book is intended for researchers and practitioners as it covers real-world applications of the technologies in marine big data.