De-noising LiDAR signal using wavelet technique

LiDAR (Light Detection And Ranging) has emerged as one of the most powerful and versatile remote sensing techniques for high resolution atmosphere studies. In most cases, the LiDAR backscattered signal is affected by various noises and extracting the weak signal from the noisy backscatter is a fundamental problem in the LiDAR system. This paper presents a new LiDAR de-noising technique which is based on wavelet transform. The technique is applied to the backscattered signal obtained from low power laser transmission (order of few mJ). Results prove that the technique is effective by retrieving, even weak signals.