logResiduals
Description
applies a log residual correction to the hyperspectral data correctedData
= logResiduals(inputData
)inputData
.
The log residual method divides the spectrum of each pixel by the spectral geometric mean
and the spatial geometric mean, which produces a pseudoreflectance data set.
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.
The Image Processing Toolbox Hyperspectral Imaging Library requires desktop MATLAB®, as MATLAB Online™ or MATLAB Mobile™ do not support the library.
Examples
Input Arguments
Output Arguments
References
[1] Green, A. A. and M. D. Craig. "Analysis of Aircraft Spectrometer Data with Logarithmic Residuals." In Proceedings of the Airborne Imaging Spectrometer Data Analysis Workshop, ed. Gregg Vane and Alexander F. H. Goetz, 111–119. Pasadena: Jet Propulsion Laboratory, 1985.
Version History
Introduced in R2020b
See Also
hypercube
| iarr
| flatField
| subtractDarkPixel
| empiricalLine
| reduceSmile
| sharc