The differential method is a traditional method for LiDAR cloud parameter inversion.In this paper,based on the differential enhancement method,the numbers of fitting points of the first order and second order differential signals are optimized to balance the effects of distortion and noise on the detection results.The distance corrected echo signal is used to replace the original echo signal in the cloud peak and cloud boundary functions to enhance the contrast between the cloud and non cloud regions.For the problem of excessive secondary thresholds due to the presence of low level clouds,the exclusion interval for primary thresholds is expanded to effectively reduce the missed detection of clouds.The experiment results using LiDAR data show that the correlation coefficient of cloud bottom height is improved from 0.8930 to 0.9328,and the root mean square error is reduced from 0.4924km to 0.2991km.The correlation coefficient of cloud top height is improved from 0.8174 to 0.8598,and the root mean square error is reduced from 0.7637km to 0.5912km,which proves that the improved algorithm has better inversion results.