@inproceedings{c4a9d8d9359147ae882bedfc9fb6f3e8,
title = "Algorithm of trawler fishing effort extraction based on BeiDou vessel monitoring system data",
abstract = "Performing statistical computations for traditional fishing effort takes much time and effort, and the macro fishing effort cannot be accessed immediately. Through the Beidou satellite vessel position monitoring system, the position, time, speed and other information of vessels can be got and used to data mining. In this paper, the speed threshold of each vessel{\textquoteright}s fishing state is obtained by the statistics of navigational speed. And fishing state points can be judged by the speed threshold and heading deviation. Via the correction offiltering window, the fishing area grid is calculated by the cumulative fishing time. The cumulative fishing is the product of the cumulative fishing time and the vessel power, such as kW•h. This method has the characteristics of real-time, large-scale, fast and high resolution, which can provide good service in fishery resources protection.",
keywords = "Beidou satellite, Fishing effort, Heading, Speed, Vessel monitoring system",
author = "Shengmao Zhang and Bailang Yu and Qiaoling Zheng and Weifeng Zhou",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2016.; 3rd International Conference on Geo-Informatics in Resource Management and Sustainable Ecosystem, GRMSE 2015 ; Conference date: 16-10-2015 Through 18-10-2015",
year = "2016",
doi = "10.1007/978-3-662-49155-3\_15",
language = "英语",
isbn = "9783662491546",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "159--168",
editor = "Yichun Xie and Fuling Bian",
booktitle = "Geo-Informatics in Resource Management and Sustainable Ecosystem - 3rd International Conference, GRMSE 2015, Revised Selected Papers",
address = "德国",
}