摘要
鉴于大雾对城市和沿海地区国民经济和人们生命财产带来的巨大灾害,迫切需要研制快速、有效、准确的雾遥感监测和识别方法。在对雾的辐射特性与卫星光谱特征试验分析基础上,找出不同时相可见光遥感图像下垫面反射率与云雾反射率之间的相对关系,并通过对图像反射率的相对变化率进行计算分析,自动生成准雾区动态判别阈值,并在准雾区范围初步确定基础上,采用基于图像游程编码的快速连通区域标记技术,结合纹理分形分析、形态分形分析、平滑度分析、模板特征分析等实用方法,对气象卫星遥感图像进行雾自动识别和云雾分离研究,取得了良好的应用效果。
There is an urgent need for the development of a method that can undertake rapid,effective,and accurate monitoring and identification of fog by satellite remote sensing,since heavy fog can cause enormous disasters to China＇s national economy and people＇s lives and property in the urban and coastal areas.In this paper,the correlative relationship between the reflectivity of land surface and clouds in different time phases is found,based on the analysis of the radiative and satellite-based spectral characteristics of fog.Through calculation and analyses of the relative variability of the reflectivity in the images,the threshold to identify quasi-fog areas is generated automatically.Furthermore,using the technique of quick image run-length encoding,and in combination with such practical methods as analyzing texture and shape fractures,smoothness,and template characteristics,the automatic identification of fog and fog-cloud separation using meteorological satellite remote sensing images are studied,with good results in application.
出处
《热带气象学报》
CSCD
北大核心
2011年第2期152-160,共9页
Journal of Tropical Meteorology
基金
上海市科委重点课题"上海城市和沿海大雾遥感监测预警系统研究"(NO.075115011)资助
关键词
气象卫星
雾
遥感动态监测
自动快速识别方法
meteorological satellites
fog
dynamic remote sensing monitoring
rapid and automatic identification methods
