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Differential method for processing scanning lidar data

机译:用于处理扫描激光雷达数据的差分方法

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The significant deficiency of the classic multiangle data-processing technique is that the accuracy of the lidar-data inversion strongly depends on whether the assumption of the horizontal stratification of the searched atmosphere is valid. The aggravating factor is that no reliable methodology exists that would allow establishment of whether the above assumption is met; even the thorough analysis of the measured lidar signals rarely allows for a reliable conclusion about the fulfillment of this requirement. In this study, a new multiangle differential data-processing method is considered, which provides the renewed interpretation of multiangle measurements. It allows for distinguishing and separating the data points from the areas where the backscatter extinction coefficient is not constant in the horizontal directions. Simulated and experimental data are presented that illustrate the principle and specifics of such a differential technique. (C) 2015 Optical Society of America
机译:经典多角度数据处理技术的显着不足在于,激光雷达数据反演的准确性在很大程度上取决于所搜索大气水平分层的假设是否有效。加剧的因素是,不存在任何可靠的方法来确定上述假设是否得到满足;即使对测得的激光雷达信号进行全面分析,也很少能得出有关满足此要求的可靠结论。在这项研究中,考虑了一种新的多角度差分数据处理方法,该方法为多角度测量提供了新的解释。它允许从反向散射消光系数在水平方向上不恒定的区域中区分和分离数据点。提供了仿真和实验数据,这些数据说明了这种差分技术的原理和细节。 (C)2015年美国眼镜学会

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