Consistent Colorization of Sentinel-2 Images for Global Product Generation

This paper is interested with consistent rendering of 16-bits SENTINEL-2 images into 8-bits ones in order to produce visually sound global products (useful for basemap for example). Though the colorization of a single 16-bits data can efficiency be done with histogram stretching techniques for examp...

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Bibliographic Details
Main Authors: Corpetti, Thomas, Cusson, Thomas, Lefebvre, Antoine
Format: Conference Proceeding
Language:English
Subjects:
basemaps
Colorization
feature losses
Geoscience and remote sensing
global products
Histograms
Neural networks
Rendering (computer graphics)
Sentinel-2
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Description
Summary:This paper is interested with consistent rendering of 16-bits SENTINEL-2 images into 8-bits ones in order to produce visually sound global products (useful for basemap for example). Though the colorization of a single 16-bits data can efficiency be done with histogram stretching techniques for example, applying a unique transformation able to generate consistent data with enough details/contrasts whatever the content of the original image remains challenging. We propose here to train a neural network on a wide variety of images that have been manually enhanced to derive a unique model able to consistently recolor images and generate sound global products without mosaic effects.
ISSN:2153-7003
DOI:10.1109/IGARSS52108.2023.10282013