Application of Swarm-Based Optimization to Forest Height Estimation in PolInSAR

Abstract:
In this study, we utilize swarm-based optimization (SBO) techniques to retrieve the forest height (FH) in polarimetric synthetic aperture radar interferometry (PolInSAR) inversion. Two physical models, which are the random-volume-overground (RVoG) and the simplified version of random-motion-over-ground (RMoG) models are used to relate the quadpolarimetric SAR observations to the FH. In the results obtained using both the simulated and real data, the SBO method exhibit the better FH estimation results than the conventional method.