Wavelets for computationally efficient hyperspectral derivative analysis

  title={Wavelets for computationally efficient hyperspectral derivative analysis},
  author={Lori M. Bruce and Jiang Li},
  journal={IEEE Trans. Geoscience and Remote Sensing},
Smoothing followed by a derivative operation is often used in the analysis of hyperspectral signatures. The width of the smoothing and/or derivative operator can greatly affect the utility of the method. If one is unsure of the appropriate width or would like to conduct analysis for several widths, scale-space images can be used. This paper shows how the wavelet transform modulus-maxima method can be used to formalize and generalize the smoothing followed by derivative analysis and how the… CONTINUE READING
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