摘要
大气校正是光学遥感信息定量化研究中必不可少的一步,将各种大气校正方法归纳为基于图像特征的相对校正法、基于地面线性回归模型法、基于大气辐射传输模型法和复合模型法4类,详细分析了每一类方法的优缺点、适用范围或影响因素,并对大气校正的未来发展做了几点思考。
It is indicated that atmospheric correction for optical remote sensing is absolutely necessary for quantitative remote sensing. The atmospheric correction methods can be grouped into four types, namely, relative correction based on image information, linear regression based on ground spectra, radiative transfer models and composite models. Their advantages and disadvantages as well as their adaptability or effective factors are analyzed in this paper. Some thoughts on the future development of atmospheric correction for optical remote sensing are also put forward in the end of this paper.
出处
《国土资源遥感》
CSCD
2005年第4期1-6,共6页
Remote Sensing for Land & Resources
关键词
光学遥感
大气校正
影响因素
Optical remote sensing
Atmospheric correction
Effective factors
