Beetroots (BayEsian infErence with spaTial Regularization of nOisy multi-line ObservaTion mapS) - Archive ouverte HAL Accéder directement au contenu
Logiciel Année : 2024

Beetroots (BayEsian infErence with spaTial Regularization of nOisy multi-line ObservaTion mapS)

Résumé

Beetroots (BayEsian infErence with spaTial Regularization of nOisy multi-line ObservaTion mapS) is a Python package that performs Bayesian inference of physical parameters from multispectral-structured cubes with a dedicated sampling algorithm. Thanks to this sampling algorithm, beetroots provides maps of credibility intervals along with estimated maps.

Dates et versions

hal-04461075 , version 1 (23-02-2024)

Identifiants

  • HAL Id : hal-04461075 , version 1

Citer

Pierre Palud, Pierre-Antoine Thouvenin, Pierre Chainais, Emeric E. Bron, Franck Le Petit. Beetroots (BayEsian infErence with spaTial Regularization of nOisy multi-line ObservaTion mapS). 2024. ⟨hal-04461075⟩
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