# smileMetric

## Description

`[`

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

The Hyperspectral Imaging Library for Image Processing
Toolbox requires desktop MATLAB^{®}, as MATLAB
Online™ or MATLAB
Mobile™ do not support the library.

## Examples

## Input Arguments

## Output Arguments

## More About

## References

[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.

## Version History

**Introduced in R2021a**