%0 Journal Article
%T A Method for Removing Atmospheric Haze in Remote Sensing Images Based on Linear Spectral Decomposition<br>基于线性光谱分解的遥感图像大气灰霾环境效应去除技术
%A Yao Fo-jun
%A <br>姚佛军
%J 红外
%D 2012
%I 
%X Haze has great influence on remote sensing images. The transmission of sunlight in haze environment is analyzed mainly. Firstly, according to the transmission of sunlight, the haze is considered as a non-uniform translucent-transparent layer. Then, the end-member of the haze is extracted by using the SMACC algorithm and the haze in a remote sensing image is removed by using a least-square method. The haze removal method using linear spectral decomposition is very effective for the removal of the haze with either high or low aerosol concentration in remote sensing images and can retain the spectral information in remote sensing images maximally. Finally, the method is compared with the atmospheric correction method. The result shows that this linear spectral decomposition method is better for the removal of haze.
%K haze
%K radiative transfer
%K atmospheric correction
%K linear spectral decomposition
%K end-member<br>灰霾
%K 辐射传输
%K 大气校正
%K 线性光谱分解
%K 端元
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=3723000AE493FCE650601982177048B1&aid=291564C791BE96890E13BDB6D7578BE9&yid=99E9153A83D4CB11&vid=27746BCEEE58E9DC&iid=DF92D298D3FF1E6E&sid=A04140E723CB732E&eid=B91E8C6D6FE990DB&journal_id=1672-8785&journal_name=红外&referenced_num=0&reference_num=21