Communication Dans Un Congrès Année : 2020

Using deconvolution and machine learning to improve MSL Curiosity images: application to ChemCam and MAHLI

K. Herkenhoff

Résumé

We investigate the performance of the recently released image processing software suite “Topaz Gigapixel” on martian images from the Mars Science Laboratory “Curiosity” rover. The objective is to evaluate the possibility to visually enhance the apparent resolution of acquired images, using cutting-edge image processing algorithms, in order to improve the mapping and interpretation of small scale features such as layers, laminations, cross-bedding, grains, veins, nodules...

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hal-02526554 , version 1 (02-04-2020)

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Stéphane Le Mouélic, O. Gasnault, K. Herkenhoff, W. Rapin, K S Edgett, et al.. Using deconvolution and machine learning to improve MSL Curiosity images: application to ChemCam and MAHLI. 51st Lunar and Planetary Science Conference, Lunar & Planetary Institute, Mar 2020, The Woodlands, Texas, United States. ⟨hal-02526554⟩
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