基于有效峰值修正算法的全波形数据研究

Study on Full Waveform Data Based on Effective Peak Correction Algorithm

针对奇偶拐点高斯分解法在全波形数据处理中存在的精度不足的问题,提出了一种基于有效峰值修正的全波形数据处理算法。该方法首先在数据预处理过程中使用了数据分段的方式来进行噪声均值、方差的估计,在不同的信号段使用与之对应的滤波宽度进行高斯滤波,然后结合噪声阈值与滤波后波形提取出有效峰值信息,最后根据峰值信息修正高斯分量参数。以北京市区作为实验研究区,就分解精度与其他分解算法的结果进行对比。结果表明,本文算法估测的地物高度与实际测量值的均方根误差为1.02,优于奇偶拐点高斯分解法和高斯分解产品GLA14计算的结果。

For parity inflection point Gaussian decomposition method in full waveform data processing in the problem of insufficient accuracy,this paper puts forward a full waveform data processing algorithm based on peak effective correction.This method is first used in the process of data preprocessing the data block to estimate the mean and variance of noise,and then used in different signal segment and the matching filter width of Gaussian filtering.Then combined with the noise threshold and filtering after wave peak to extract the effective information.Finally,modify the Gaussian component parameters according to the peak information.Taking Beijing urban area as the experimental research area,the decomposition accuracy is compared with the results of other decomposition algorithms.The results show that the root mean square error between the height estimated by this algorithm and the actual measured value is 1.02,which is better than the results calculated by the even-odd inflection point Gaussian decomposition method and the Gaussian decomposition product GLA14.