基于光谱分析和综合阈值的FY-3/MERSI云检测
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  • 英文篇名:Cloud Detection Based on Spectrum Analysis and Synthetical Threshold for FY-3/MERSI Data
  • 作者:樊建勇 ; 陈兴鹃 ; 聂志强 ; 李翔翔
  • 英文作者:Fan Jianyong;Chen Xingjuan;Nie Zhiqiang;Li Xiangxiang;Meteorological Science Institute of Jiangxi Province;Eco-meteorological Center of Jiangxi Province;Agro-meteorological Center of Jiangxi Province;
  • 关键词:MERSI ; 云检测 ; 光谱分析 ; 云检测指数
  • 英文关键词:MERSI;;cloud detection;;spectrum analysis;;normalized cloud detection index
  • 中文刊名:HXQO
  • 英文刊名:Meteorology and Disaster Reduction Research
  • 机构:江西省气象科学研究所;江西省生态气象中心;江西省农业气象中心;
  • 出版日期:2019-03-20
  • 出版单位:气象与减灾研究
  • 年:2019
  • 期:v.42;No.192
  • 基金:江西省重点研发计划项目(编号:20161BBG70093);; 江西省科技计划项目(编号:2015ZBBG70041)
  • 语种:中文;
  • 页:HXQO201901002
  • 页数:7
  • CN:01
  • ISSN:36-1290/P
  • 分类号:11-17
摘要
云检测是卫星遥感影像应用中的重要环节。为了获取FY-3中分辨率光谱成像仪(Medium Resolution Spectral Imager,MERSI)传感器精确的云掩膜数据,在分析云与植被、水体、裸露地表等地物在不同波段光谱差异的基础上,结合FY-3/MERSI数据的通道特性,构建基于多光谱和综合阈值的云检测算法。采用热红外通道亮温(CH_5)检测出高云,使用云检测指数(Normalized Cloud Detection Index,I_(NCD))和可见光波段反射率(CH_3)检测中低云。利用江西地区的FY-3/MERSI数据进行应用,将检测结果与其他算法、人机交互解译结果进行了对比分析。结果表明,该算法对FY-3/MERSI影像上的云区具有较好的检测效果,同时利用地面气象观测资料进行验证,检测精度均高于88%,能够满足当前云检测精度需求。
        Cloud detection is vital for the application of satellite data.Based on the difference of spectrum in different bands between cloud and vegetation,water,exposed surface,etc.,combined with the channel characteristics of the Medium Resolution Spectral Imager(MERSI)instrument,a multispectral cloud detection algorithm using MERSI images was presented,in order to identify cloud pixel accurately from MERSI sensor.High cloud was detected by using the brightness temperature(CH_5).Low-medium cloud was detected by using Normalized Cloud Detection Index and the reflectance(CH_3).The distribution of cloud in Jiangxi Province was detected using the algorithm,and the results were validated by comparing to other algorithms result and the actual cloud image.The analysis indicated that the algorithm can accurately detect the distribution of cloud using the FY-3/MERSI images.Moreover,the surface meteorological observation records were also used to verify the cloud detection result and its accuracy was higher than 88%.
引文
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