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Compute spectral smile metrics of hyperspectral data

`[`

computes the column mean derivatives, and their standard deviations, for the oxygen and
carbon-dioxide absorption features of a hyperspectral data set. You can use these values to
detect the spectral smile effect in the hyperspectral data set. For more information, see
Smile Indicators.`oxystd`

,`carbonstd`

,`oxyderiv`

,`carbonderiv`

] = smileMetric(`hcube`

)

**Note**

This function requires the Image Processing Toolbox™ Hyperspectral Imaging Library. You can install the Image Processing Toolbox Hyperspectral Imaging Library from Add-On Explorer. For more information about installing add-ons, see Get and Manage Add-Ons.

[1] Dadon, Alon, Eyal Ben-Dor, and
Arnon Karnieli. “Use of Derivative Calculations and Minimum Noise Fraction Transform for
Detecting and Correcting the Spectral Curvature Effect (Smile) in Hyperion Images.”
*IEEE Transactions on Geoscience and Remote Sensing* 48, no. 6 (June
2010): 2603–12. https://doi.org/10.1109/TGRS.2010.2040391.