Title :
Simulating satellite waveform Lidar with DART model
Author :
Yin, Tengfei ; Gastellu-Etchegorry, J.P. ; Grau, E. ; Lauret, N. ; Rubio, Jesus
Author_Institution :
CESBIO - CNES, Univ. de Toulouse, Toulouse, France
Abstract :
DART model was extended for simulating satellite Lidar data of 3D Earth scenes with Monte Carlo based methods. 2 major modeling methods were developed. (1) Monte Carlo method for efficiently handling complex phase functions: once scattering directions with close occurrence probabilities are grouped within classes, a 1st random pulling gives the class of scattering directions, and a 2nd random pulling gives the scattering direction within the class. (2) A so-called RayCarlo method combines the classical Monte Carlo forward photon tracing method and the flux tracking method, which allows one to decrease computer time of classical Monte Carlo method by factors that can reach 108. Simulation results are very encouraging. Validation tests are being conducted.
Keywords :
geophysical image processing; geophysical techniques; optical radar; remote sensing by laser beam; solid modelling; 3D Earth scenes; DART model; Monte Carlo based methods; RayCarlo method; classical Monte Carlo forward photon tracing method; complex phase functions; flux tracking method; satellite Lidar data; satellite waveform Lidar; Atmospheric modeling; Biological system modeling; Laser radar; Monte Carlo methods; Photonics; Scattering; Solid modeling; DART; Lidar; Monte Carlo; model;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723464