摘要
在分析现有低云大雾识别方法的基础上,提出了利用夜间微光云图和红外云图识别低云大雾的双通道阈值法,并用美国国防气象卫星DMSP/OLS实测数据进行了验证。实验结果表明了基于DMSP/OLS数据的双通道阈值法进行夜间低云大雾监测的可行性。
Based on the analysis of the existing methods of detecting low clouds and heavy fog,the multi-channel threshold algorithm for detecting the low clouds and heavy fog during nighttime was proposed by the use of a combination of VIS and IR images in this paper,and the result was further verified by using the DMSP/OLS data.The result proved the feasibility of the multi-channel threshold algorithm on the detection of low clouds and heavy fog during nighttime using DMSP/OLS data.
出处
《遥感信息》
CSCD
2012年第6期86-90,共5页
Remote Sensing Information
基金
国家自然科学基金重点项目(41076118)
作者简介
周小珂（1986-），女，河南开封，硕士，主要从事遥感方面研究。E-mail：zxk5201@163．com．cn
通讯作者：严卫，教授，博导。E-mail：weiyan2002net@yahoo．com．cn
