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针对传统的后向散射激光雷达系统结构复杂和需要几何因子矫正的情况,研制了一套可以全天候测量的成像激光雷达用以克服这些缺陷。采用基于求解消光系数分布的方法反演能见度,提出一种Klett后向积分法与遗传算法相结合的改进的迭代算法,同时用传统的斜率法和权重拟合法求得能见度。选取比较有代表性的四种天气,多云、阴天、晴天和雨天的数据进行处理,得到这四种天气情况下的能见度。将这四组能见度数据与能见度仪器Belfort 6230A在这四天同时测得的能见度数据进行对比,结果表明,在不同的天气情况下,两种仪器测得的数据趋势相同,相关系数均在0.67以上,具有较强的相关性。可以得出结论:研制的成像激光雷达系统可用于探测大气的能见度。
Aiming at the complex structure and the need of geometric factor correction of the traditional backscattering lidar system, a set of imaging lidar which can be measured around the clock is developed to overcome these defects. In this paper, an improved iterative algorithm combining Klett backward integration with genetic algorithm is proposed based on the inversion of visibility based on the solution of extinction coefficient distribution. Meanwhile, the visibility is obtained by the traditional slope method and weighting method. Select the representative of the four kinds of weather, cloudy, cloudy, sunny and rainy weather data processing, access to visibility under these four weather conditions. Comparing these four sets of visibility data with the visibility data of visibility instrument Belfort 6230A measured at the same time over the four days, the results show that under different weather conditions, the data measured by the two instruments have the same tendency and the correlation coefficients are above 0.67 , With strong correlation. It can be concluded that the developed imaging lidar system can be used to detect the visibility of the atmosphere.