DART-Lux: An unbiased and rapid Monte Carlo radiative transfer method for simulating remote sensing images
نویسندگان
چکیده
Accurate and efficient simulation of remote sensing images is increasingly needed in order to better exploit observations design missions. DART (Discrete Anisotropic Radiative Transfer), developed since 1992 based on the discrete ordinates method (i.e., standard mode DART-FT), one most accurate comprehensive 3D radiative transfer models simulate budget urban natural landscapes. Recently, a new method, called DART-Lux, was integrated into model address requirements massive data for large-scale complex It Monte Carlo light transport algorithms bidirectional path tracing) framework. DART-Lux can accurately rapidly reflectance factor (BRF) spectral arbitrary This paper presents its theory, implementation, evaluation. Its accuracy, efficiency advantages are also discussed. The comparison with DART-FT variety scenarios shows that consistent (relative differences <1%) time memory reduced by hundredfold. already part version freely available scientists ( https://dart.omp.eu ). • DART-Lux: fast RS images. implementation Theoretical analysis variance (Monte noise) Sensitivity study performance (accuracy, efficiency) DART-Lux.
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ژورنال
عنوان ژورنال: Remote Sensing of Environment
سال: 2022
ISSN: ['0034-4257', '1879-0704']
DOI: https://doi.org/10.1016/j.rse.2022.112973