otbcli_DimensionalityReduction: Add options to output eigenvalues, apply inverse transform for PCA and correctely deal with no-data
Add options to otbcli_DimensionalityReduction
- Output eigenvalues along eigenvectors for PCA
Apply the inverse transform(I understand this is already done using the "-outinv" parameter.
- Deal with nodata
- Option to estimate stats from a certain % sampled from the image
- Option to outpout eigenvalues and eigenvectors only, avoiding calcalating and writing the components (useful to decide how many components to keep in a second run that would perform the actual calculation of the components)