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计算机系统应用:2018,27(9):68-73
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青海湖区域水体识别系统设计
薛祥祥1,2, 罗泽1
(1.中国科学院 计算机网络信息中心, 北京 100190;2.中国科学院大学, 北京 100049)
Design of Qinghai Lake Water Body Recognition System
XUE Xiang-Xiang1,2, LUO Ze1
(1.Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China;2.University of Chinese Academy of Sciences, Beijing 100049, China)
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投稿时间:2018-01-08    修订日期:2018-01-31
中文摘要: 青海湖是我国最大的内陆湖,其对于当地生态系统起着至关重要的作用.对青海湖水体进行快速有效监测,成为研究的一个方向.目前的水体识别研究多采用单机版来进行实现,其存在识别速度较慢,自动化程度低等问题.随着遥感数据量的日益增长,传统识别方法难以满足需求.基于Hadoop和Spark分布式大数据框架,设计并实现了自动化水体识别系统.该系统主要实现了遥感图像的数据存储,数据读取,数据处理,模型预测等功能模块,并最后通过shell脚本来实现系统的自动化执行.最后选用了青海湖区域三天遥感图像数据来对系统进行验证.实验结果表明,该系统能够自动完成水体识别流程,并能准确的预测水体.
中文关键词: 水体识别  Spark  遥感图像  自动化  Hadoop
Abstract:Qinghai Lake is China's largest inland lake, which plays a crucial role in the local ecosystem. To effectively monitor the Qinghai Lake water body has become a research direction. The current water body recognition research is mostly realized using single machine, this method has the problem of slow recognition and low degree of automation. With the increasing amount of remote sensing data, traditional identification methods cannot meet the demand. Based on Hadoop and Spark distributed big data framework, this study designs and implements an automatic water body recognition system. The system mainly realizes the data storage, data reading, data processing, model prediction, and other functional modules of remote sensing images, and finally implements the automated execution of the system through shell scripting. Finally, this study selects the three-day remote sensing image data of Qinghai Lake area to verify the system. The experimental results show that the system can automatically complete the water body recognition process and accurately predict the water body.
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基金项目:国家科技部国家科技基础条件平台项目(DKA2017-12-02-18)
引用文本:
薛祥祥,罗泽.青海湖区域水体识别系统设计.计算机系统应用,2018,27(9):68-73
XUE Xiang-Xiang,LUO Ze.Design of Qinghai Lake Water Body Recognition System.COMPUTER SYSTEMS APPLICATIONS,2018,27(9):68-73

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