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De-noising LiDAR signal using wavelet technique

机译:使用小波技术对LiDAR信号进行去噪

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摘要

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.
机译:LiDAR(光检测和测距)已经成为用于高分辨率大气研究的最强大,用途最广泛的遥感技术之一。在大多数情况下,LiDAR背向散射信号会受到各种噪声的影响,从嘈杂的背向散射中提取微弱信号是LiDAR系统的基本问题。本文提出了一种基于小波变换的新型LiDAR去噪技术。该技术适用于从低功率激光传输(几mJ量级)获得的反向散射信号。结果证明该技术通过检索甚至微弱的信号也是有效的。

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