Wavelets for computationally efficient hyperspectral derivative analysis

@article{Bruce2001WaveletsFC,
  title={Wavelets for computationally efficient hyperspectral derivative analysis},
  author={Lori M. Bruce and Jiang Li},
  journal={IEEE Trans. Geoscience and Remote Sensing},
  year={2001},
  volume={39},
  pages={1540-1546}
}
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
Highly Cited
This paper has 50 citations. REVIEW CITATIONS

4 Figures & Tables

Topics

Statistics

05'03'05'07'09'11'13'15'17
Citations per Year

51 Citations

Semantic Scholar estimates that this publication has 51 citations based on the available data.

See our FAQ for additional information.