AI Article Synopsis
- - A new denoising method for atmospheric coherent length lidar is introduced, combining wavelet decomposition (WD) and adaptive median filter (ADMF).
- - The effectiveness of this WD-ADMF method was confirmed through simulations and actual measurements.
- - Results indicate that applying this filter boosts the average peak signal-to-noise ratio (PSNR) and reduces centroid error, leading to more accurate coherence length measurements.
Article Abstract
A denoising method applied to atmospheric coherent length lidar is proposed. Wavelet decomposition (WD) and the adaptive median filter (ADMF) are combined in this method. In this research, the effectiveness of the WD-ADMF has been verified through simulation and measurement. The results show that this filter algorithm, when applied to lidar data, improves the average peak signal-to-noise ratio (PSNR) and centroid error while maintaining data integrity such that the measurement of coherence length or the inference of 2 from coherence length more closely matches simulated truth and measured data.
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| http://dx.doi.org/10.1364/AO.518219 | DOI Listing |
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