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小光斑全波形激光雷达作为新一代对地观测主动光学遥感技术,近年来得到了广泛关注与应用.波形数据分解与辐射校正是波形数据处理的重要环节,它直接影响着信息提取和波形数据进一步应用.本文以高斯混合模型为数学基础,采用逐级递进分解的策略,建立小光斑激光雷达波形数据的高斯分解方法;考虑激光雷达系统获取数据过程中激光初始发射脉冲和不同观测角度大气程辐射的差异,在高斯拟合模型的基础上,建立波形数据的相对辐射校正模型.采用小光斑激光雷达波形数据对提出的递进高斯分解与相对辐射校正方法进行验证,结果表明递进分解能够准确的确定波形数据峰值个数、位置与宽度,在波形分解基础上进行的相对辐射校正能够提高相同地物波形数据的相似性.
As a new generation of active optical remote sensing technology for earth observation, spot light full-wave laser radar has been widely concerned and applied in recent years.Waveform data decomposition and radiation correction are important links in waveform data processing, which directly affects information extraction and further application of waveform data In this paper, the Gaussian mixture model is taken as the mathematical foundation and the step by step decomposition method is used to establish the Gaussian decomposition method of laser spot data. The laser pulse and the atmospheric radiation at different observation angles The relative radiation correction model of the waveform data is established based on the Gaussian fitting model.The proposed method of progressive Gaussian decomposition and relative radiation correction is validated by using the small spot laser radar waveform data.The results show that the progressive decomposition can be accurate The determination of the number of peak waveform data, location and width, based on the waveform decomposition of the relative radiation correction can improve the similarity of the same object waveform data.