An Adaptive Noise-Filtering Algorithm for AVIRIS Data With Implications for Classification Accuracy

@article{Phillips2009AnAN,
  title={An Adaptive Noise-Filtering Algorithm for AVIRIS Data With Implications for Classification Accuracy},
  author={Rhonda D. Phillips and Christine E. Blinn and Layne T. Watson and Randolph H. Wynne},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2009},
  volume={47},
  pages={3168-3179}
}
This paper describes a new algorithm used to adaptively filter a remote-sensing data set based on signal-to-noise ratios (SNRs) once the maximum noise fraction has been applied. This algorithm uses Hermite splines to calculate the approximate area underneath the SNR curve as a function of band number, and that area is used to place bands into ldquobinsrdquo with other bands having similar SNRs. A median filter with a variable-sized kernel is then applied to each band, with the same size kernel… CONTINUE READING
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