De-Noising Process Based on Wavelet Transform in Feature Reflectance Detection LiDAR System
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.
NETL
NSTL
万方数据
维普
