基于NPP/VIIRS夜光遥感影像的作业灯光围网渔船识别

为对远洋灯光渔船作业信息进行实时动态监测,该研究基于可见光红外辐射仪（visible infrared imaging radiometer suite,VIIRS）夜光遥感影像,根据远洋灯光渔船作业时其集鱼灯灯光在VIIRS白天/夜晚波段（day/night band,DNB）影像上的辐射特征,采用峰值中值指数（spike median index,SMI）对灯光渔船与背景像元间的辐射差异进行拉伸,在此基础上设计了基于最大熵法（maximum entropy method,Max Ent）阈值分割以及局部峰值检测（local spike detection,LSD）的作业远洋灯光渔船识别算法...

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Published in农业工程学报 Vol. 33; no. 10; pp. 245 - 251
Main Author 郭刚刚 樊伟 薛嘉伦 张胜茂 张衡 唐峰华 程田飞
Format Journal Article
LanguageChinese
Published 上海海洋大学海洋科学学院,上海 201306%中国水产科学研究院东海水产研究所,农业部东海与远洋渔业资源开发利用重点实验室,上海 200090 2017
中国水产科学研究院东海水产研究所,农业部东海与远洋渔业资源开发利用重点实验室,上海 200090
Subjects
DNB影像
NPP/VIIRS
夜光遥感
渔船
监测
遥感
夜光遥感
监测
渔船
DNB影像
remote sensing
DNB image
NPP/VIIRS
遥感
monitoring
nighttime light remote sensing
fishing vessels
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ISSN1002-6819
DOI10.11975/j.issn.1002-6819.2017.10.032

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Summary:为对远洋灯光渔船作业信息进行实时动态监测,该研究基于可见光红外辐射仪（visible infrared imaging radiometer suite,VIIRS）夜光遥感影像,根据远洋灯光渔船作业时其集鱼灯灯光在VIIRS白天/夜晚波段（day/night band,DNB）影像上的辐射特征,采用峰值中值指数（spike median index,SMI）对灯光渔船与背景像元间的辐射差异进行拉伸,在此基础上设计了基于最大熵法（maximum entropy method,Max Ent）阈值分割以及局部峰值检测（local spike detection,LSD）的作业远洋灯光渔船识别算法,并采用2015年西北太平洋公海灯光围网渔场内作业渔船船位监控系统（vessel monitoring system,VMS）数据对该算法的识别精度进行检验。验证结果显示,该文提出的作业远洋灯光渔船自动识别算法对实际作业灯光渔船的识别精度在92%以上,可以满足远洋灯光渔船日常监测的需求,可为进一步评估远洋光诱渔业捕捞努力量、推进远洋光诱渔业信息化管理以及打击非法、未申报和无管制的（illegal,unregulated,unreported,IUU）捕捞活动提供技术支持。
Bibliography:11-2047/S
Guo Ganggang1,2, Fan Wei1, Xue Jialun1,2, Zhang Shengmao1, Zhang Heng1, Tang Fenghua1, Cheng Tianfei1 （1. Key Lab of East China Sea ＆ Oceanic Fishery Resources Exploitation and Utilization, Ministry of Agriculture; East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China; 2. College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China）
remote sensing; fishing vessels; monitoring; nighttime light remote sensing; NPP/VIIRS; DNB image
Fishing data are the basement of fisheries science research, but currently the source of fishing data is extraordinarily scarce, and data quality is poor in some aspects. Satellite low light sensors can detect the light-fishing vessels at night, however, its application in pelagic fishery has been limited by the lack of an algorithm for extracting the location and brightness of operating pelagic light-fishing vessels. An examination of operating pelagic light-fishing vessels features in the day/night band （DNB）
ISSN:1002-6819
DOI:10.11975/j.issn.1002-6819.2017.10.032