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Research on Fishery Trajectory Analysis and Fishing Ground Discrimination Based on CNN

机译:基于CNN的渔业轨迹分析与渔业歧视研究

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With the continuous progress of science and technology, people's production and lifestyle which has lasted for thousands of years are also changing quietly. More and more things, people, data, and the Internet are connected together, which also makes the power of big data calculation and mining increase exponentially. The navigation data of Zhejiang coastal fishermen are recorded by satellite. Using big data calculation can combine the ocean climate information, fishing vessel location information, and the data formed by fishing grounds into a big fishery data platform. After many captains use the data provided by this platform for fishing guidance, they have achieved a very good catch. They use scientific and technological innovation to change fishing methods so that fishermen can no longer rely on heaven for food. The risk is difficult to predict. The research in this paper is to find the common characteristics of fishing grounds by analyzing the navigation data of fishermen in the Zhejiang coastal area recorded by satellite and at the same time, expand the search range to estimate the new fishing ground location. This work can be used to mine data by using convolutional neural network.
机译:随着科学技术的不断进步,人们的生产和生活方式已经持续了千百年来也悄然发生着变化。越来越多的东西,人,数据和互联网连接在一起,这也使得大数据计算和成倍增加开采的权力。浙江沿海渔民的导航数据通过卫星记录。利用大数据的计算可以结合海洋气候信息,渔船的位置信息,并通过渔场成一个大的渔业数据平台形成的数据。经过多年的船长通过使用该平台捕鱼指导提供的数据,他们已经取得了很好的渔获物。他们利用科技创新来改变的捕鱼方法,使渔民能不再依靠天吃饭。风险是难以预料的。本文的研究是利用卫星,并在同一时间录制浙江沿海地区的渔民进行分析的导航数据来找到渔场的共同特点,扩大搜索范围以估计新渔场的位置。这项工作可以通过使用卷积神经网络来挖掘数据。

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