An improved atmospheric correction algorithm for hyperspectral remotely sensed imagery

@article{Liang2004AnIA,
  title={An improved atmospheric correction algorithm for hyperspectral remotely sensed imagery},
  author={Shunlin Liang and Hongliang Fang},
  journal={IEEE Geoscience and Remote Sensing Letters},
  year={2004},
  volume={1},
  pages={112-117}
}
There is an increased trend toward quantitative estimation of land surface variables from hyperspectral remote sensing. One challenging issue is retrieving surface reflectance spectra from observed radiance through atmospheric correction, most methods for which are intended to correct water vapor and other absorbing gases. In this letter, methods for correcting both aerosols and water vapor are explored. We first apply the cluster matching technique developed earlier for Landsat-7 ETM+ imagery… CONTINUE READING
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