An Automatic Range Ambiguity Solution in High-Repetition-Rate Airborne Laser Scanner Using Priori Terrain Prediction

In this letter, a fully automatic method to resolve range ambiguities for high-repetition-rate airborne laser scanner data is introduced. The method combines position and orientation system data with a rough digital elevation model to make adaptive predictions for the range intervals of laser pulses and is compatible with a wide range of LiDAR systems. Results show its capability in avoiding the intrinsic constraints of multiple pulse repetition rate techniques in state-of-the-art commercial ALS systems while retaining efficient computational performance and robustness under complex terrain circumstances.