A backscattering data simulation model for forest canopy based on canopy height information

摘要

The traditional backscattering data simulation models of forest canopy use uniform distribution or random distribution to simulate the vegetation distribution that are different from the real scene. To simulate the backscattering data of forest canopy realistically, a simulation method based on canopy height information is proposed. Firstly, the crown information is extract from the canopy height data. To solve the problem of multiple crown centers are extracted from the same crown, a layered local maxima algorithm is proposed. Then, the Monte Carlo coherent scattering model is used to simulate the forest backscatter data. Finally, the similarity of the simulation data is verified by the measured airborne data in Genhe City, Inner Mongolia Autonomous Region, China.