An improved atmospheric correction algorithm for hyperspectral remotely sensed imagery

  title={An improved atmospheric correction algorithm for hyperspectral remotely sensed imagery},
  author={Shunlin Liang and Hongliang Fang},
  journal={IEEE Geoscience and Remote Sensing Letters},
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
Highly Cited
This paper has 21 citations. REVIEW CITATIONS
12 Citations
34 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 12 extracted citations


Publications referenced by this paper.
Showing 1-10 of 34 references

Water-vapor column abundance retrievals during fife

  • C. J. Bruegge, J. E. Conel, R. O. Green, J. S. Margolis, R. G. Holm, G. Toon
  • J. Geophys. Res., vol. 97, pp. 18 759–18 768…
  • 1992
Highly Influential
11 Excerpts

A new atmospheric correction algorithm for MODIS land surface imagery

  • S. Liang, H. Fang
  • Remote Sens. Environ.,
  • 2004
2 Excerpts

Similar Papers

Loading similar papers…