Hi everybody,

I 'm currently working on Pleiades Datasets, and i would like to perform 
automatic contrast enhancement and color correction, and i would like to 
know if anybody know a workflow to do that...
I would like to reproduce a thing like "OVR" from Pleiades Data distributed 
by Airbus Defense & Space.

I experimented software like Image magick with this kind of code:
convert -monitor -modulate 100,130 -channel R -gamma 1 -channel G -gamma 
0.95 -channel B -gamma 0.875 -channel RGB -sigmoidal-contrast 11x40% 
%OUT%BUNDLE_ORTHO_RGB.TIF -compress lzw %OUT%BUNDLE_ORTHO_RGB_CC.TIF
It's not bad but, i spend lot of time trying to find the correct 
parameters... And i don't know how to calculate them automatically.

A good software (but not open source) do a thing like that: Spectral 
discovery (by Geosage, an Australian company), this software perform L8 
pre-processing (for data visualisation only): this soft read metada (MTL 
files, like DIMAP for pleiades), to estimate parameters for stretching, and 
scaling to produce a good looking L8 RGB tiff. I think it is possible to do 
that with the dimap but i don't know how...

I have read a good paper about color correction for sat imagery: 
An Inquiry on Contrast Enhancement Methods for Satellite Images

They speak about to very good algo: MSR (Multi Scale Retinex) and LCC 
(Local Color Correction), but i don't know how to aplly them on my Pleiades 
dataset.


If anyone want to share about contrast enhancement and color correction, i 
am very happy to share my ressource.

Thank you for your time

Léo



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