摘要
针对Landsat TM影像,设计了一种适用于非均质大气的大气校正方法。该方法以暗目标减法(DOS)为基础,结合大气辐射传输模型,通过选取TM影像上多个暗像元,并计算其所对应的大气校正系数对整幅图像进行大气校正。该方法不依赖任何外部信息,并且考虑了大气的非均质性,校正精度较高。
Using Landsat TM imagery, the authors designed an atmospheric correction method for nonhomogeneous atmosphere in this paper. The method is based on the traditional dark object subtraction (DOS) technique. In combination with the atmospheric radiative transfer model, the authors selected quite a few dark objects from landsat TM imagery and calculated the atmospheric correction factor corresponding to each dark object. Then the atmospheric correction for entire image was carried out by making use of all dark objects synthetically. The main characteristic of this method is that it does not depend on any extraneous information. As the atmospheric nonhomogeneity is considered in this method, the precision of atmospheric correction is relatively high.
出处
《国土资源遥感》
CSCD
2007年第2期16-19,30,I0002,共6页
Remote Sensing for Land & Resources
关键词
大气校正
暗像元
TM影像
Atmospheric correction
Dark object
TM imagery