地物反射率探测激光雷达回波信号的小波去噪

De-Noising Process Based on Wavelet Transform in Feature Reflectance Detection LiDAR System

摘要: 从能量、图形、统计多角度出发,提出了由信噪比、平滑度等6项指标组成的小波消噪效果评价体系,对各算法去噪后信号作出全面客观评价。实验结果表明,基于3σ准则的阈值法与模极大值法相结合的小波去噪方法可以有效地去除噪声,效果优于其他方法。

Abstract: Based on the analysis of noise characteristics of the echo signal and principle of wavelet transform de-noising,the combination of threshold method based on 3σ criteria method and Module Maximum Value method is experimented,and with a variety of other classical de-noising algorithms combining in order to process comparative experiment.A new wavelet de-noising effect evaluation system that contains six indicators(noise ratio,smoothness,etc.) is proposed from multi-perspective and make a comprehensive and objective evaluation of the de-noising signal.Experimental results show that the combination of threshold based on 3σ criteria method and modulus maxima method can effectively remove the noise,the effect is better than other methods.