DART-Lux: an unbiased and rapid Monte Carlo radiative transfer method for simulating remote sensing images - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Remote Sensing of Environment Année : 2022

DART-Lux: an unbiased and rapid Monte Carlo radiative transfer method for simulating remote sensing images

Résumé

Accurate and efficient simulation of remote sensing images is increasingly needed in order to better exploit remote sensing observations and to better design remote sensing missions. DART (Discrete Anisotropic Radiative Transfer), developed since 1992 based on the discrete ordinates method (i.e., standard mode DART-FT), is one of the most accurate and comprehensive 3D radiative transfer models to simulate the radiative budget and remote sensing observations of urban and natural landscapes. Recently, a new method, called DART-Lux, was integrated into DART model to address the requirements of massive remote sensing data simulation for large-scale and complex landscapes. It is developed based on efficient Monte Carlo light transport algorithms (i.e., bidirectional path tracing) and on DART model framework. DART-Lux can accurately and rapidly simulate the bidirectional reflectance factor (BRF) and spectral images of arbitrary landscapes. This paper presents its theory, implementation, and evaluation. Its accuracy, efficiency and advantages are also discussed. The comparison with standard DART-FT in a variety of scenarios shows that DART-Lux is consistent with DART-FT (relative differences <1%) with simulation time and memory reduced by a hundredfold. DART-Lux is already part of the DART version freely available for scientists (https://dart.omp.eu).
Fichier principal
Vignette du fichier
revised_manuscript_clean.pdf (7.49 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-04643523 , version 1 (10-07-2024)

Identifiants

Citer

Yingjie Wang, Abdelaziz Kallel, Xuebo Yang, Omar Regaieg, Nicolas Lauret, et al.. DART-Lux: an unbiased and rapid Monte Carlo radiative transfer method for simulating remote sensing images. Remote Sensing of Environment, 2022, 274, pp.112973. ⟨10.1016/j.rse.2022.112973⟩. ⟨hal-04643523⟩
22 Consultations
2 Téléchargements

Altmetric

Partager

Gmail Mastodon Facebook X LinkedIn More