Communication Dans Un Congrès Année : 2023

Consistent Colorization of Sentinel-2 Images for Global Product Generation

Résumé

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.
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Dates et versions

hal-04310701 , version 1 (27-11-2023)

Identifiants

Citer

Thomas Corpetti, Thomas Cusson, Antoine Lefebvre. Consistent Colorization of Sentinel-2 Images for Global Product Generation. IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Jul 2023, Pasadena, United States. pp.2950-2953, ⟨10.1109/IGARSS52108.2023.10282013⟩. ⟨hal-04310701⟩
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