An integrated methodology to improve classification accuracy of remote sensing data

@article{Elmahboub2003AnIM,
  title={An integrated methodology to improve classification accuracy of remote sensing data},
  author={W. M. Elmahboub and Frank Scarpace and Bernard Smith},
  journal={IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477)},
  year={2003},
  volume={4},
  pages={2161-2163 vol.4}
}
We investigated and improved the accuracy of supervised classification by eliminating electromagnetic radiation scattering effect of aerosol particles from cloud-free Landsat TM data. The scattering effect was eliminated by deriving a mathematical model including the amount of the scattered radiation per pixel area and aerosol size distribution, which was derived using randomly collected training sets. An algorithm in C/sup ++/ has been developed with iterations to derive the aerosol size… CONTINUE READING