Novel Forest Height Extraction Method Based on Neuman Volume Scattering Model from PolInSAR Images

This article nominates a new manner based upon the Neuman volume scattering model to get better the correctness of forest elevation calculation using polarized interference UAV-SAR images. The forest parameters are extracted by the suggested solution which are carried out through 3 steps. First, the contribution of the scattering components is determined based on the Neuman volume scattering model. Next, constraint conditions are added to determine the optimal complex polarimetry interferometry coherence (CPI) coefficient for ground and volume scattering components. Then the sum of least squares algorithm is used to calculate the ground phase. Finally, the forest parameters is directly restored based on the optimal iterative method. The efficiency of the newly mentioned manner is assessed with UAV-SAR data received from the AfiSAR project of NASA/JPL.