A Highly Accurate Classification of TM Data through Correction of Atmospheric Effects

@article{Elmahboub2009AHA,
  title={A Highly Accurate Classification of TM Data through Correction of Atmospheric Effects},
  author={Widad Elmahboub and Frank Scarpace and Bill Smith},
  journal={Remote Sensing},
  year={2009},
  volume={1},
  pages={278-299}
}
Atmospheric correction impacts on the accuracy of satellite image-based land cover classification are a growing concern among scientists. In this study, the principle objective was to enhance classification accuracy by minimizing contamination effects from aerosol scattering in Landsat TM images due to the variation in solar zenith angle corresponding to cloud-free earth targets. We have derived a mathematical model for aerosols to compute and subtract the aerosol scattering noise per pixel of… CONTINUE READING

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