Description Usage Arguments Value Note Author(s) See Also Examples

This function makes a Gaussianization procedure based on PCA iteration ( see `GPCA_iteration`

)

1 |

`x_prev` |
previous set of the random variable |

`n` |
number of reiterations |

`extremes` |
see |

A `GPCA-class`

S3 object returned by `GPCA_iteration`

at each iteration
and the final results of the G-PCA procedure (matrix `final_results`

)

This function re-iterates the equation (1) of "PCA Gaussianization for One-Class Remote Sensing Image" by V. Laparra et al., http://www.uv.es/lapeva/papers/SPIE09_one_class.pdf,http://www.uv.es/vista/vistavalencia/papers/SPIE_09_Gaussianization_presentation.pdf

Emanuele Cordano

`GPCA`

,`GPCA_iteration`

,`inv_GPCA_iteration`

,`inv_GPCA`

,`GPCA-class`

for 'GPCA' S3 class

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