Error compensation based on BP neural network for airborne laser ranging

This paper proposes a general realization method of laser ranging for micro UAVs, which is based on secondary development for the laser ranging module of FLUKE 411D. And the airborne dynamic laser ranging experiments are finished with the micro UAV DJI Phantom1. Through data processing with the least-square-based method and BP neural network-based method, the measurement error with BP neural network-based method is obtained for 4.35%, which is significantly less than that 6.69% with least-square-based method. It means that the measurement accuracy is improved significantly with BP neural network-based method. Therefore, the error compensation method based on BP neural network for airborne laser ranging is verified effectively in the paper.