A GPU-based solution for ray tracing 3D radiative transfer model for optical images 3 - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue IEEE Geoscience and Remote Sensing Letters Année : 2022

A GPU-based solution for ray tracing 3D radiative transfer model for optical images 3

Résumé

Three-dimensional (3D) radiative transfer (RT) models are frequently recognized as a prerequisite when using high-resolution remote sensing data in heterogeneous surfaces. However, most studies of 3D RT models have been 12 restricted to limited applications due to the low computational efficiency. Therefore, this study proposed a general processing unit (GPU)-based solution for ray tracing 3D RT model. A state-of-the-art graphics and compute application programming interface, Vulkan, was introduced to implement the RT process. A bounding box method was adopted for 15 the computation acceleration. By comparison with a central processing unit (CPU)-based one, the performance efficiency of the proposed solution is significantly better: the simulation time of a GPU model is significantly reduced by more than 99% when facing a large-scale simulation mission. And the simulation accuracy of two solutions is similar
Fichier non déposé

Dates et versions

hal-03813783 , version 1 (17-10-2022)

Identifiants

Citer

Zunjian Bian, Jianbo Qi, Jean-Philippe Gastellu-Etchegorry, Jean-Louis C. H. Roujean, Biao Cao, et al.. A GPU-based solution for ray tracing 3D radiative transfer model for optical images 3. IEEE Geoscience and Remote Sensing Letters, 2022, 19, pp.1-5. ⟨10.1109/LGRS.2022.3206312⟩. ⟨hal-03813783⟩
37 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Mastodon Facebook X LinkedIn More