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。

Traditional backscattering lidar has complex system and requirement to correct the geometrical factor. Using imaging lidar can overcome these drawbacks and this lidar can work all the day. It adopted the weighted fitting method, slope method and modified iteration algorithm that combined Klett backward integration method and Genetic Algorithm(GA) method based on the distribution of extinction to deal with the image data. Taking the data from four different weathers, the atmospheric visibility of these days was obtained. Then, it was made a confrontation with the America Belfort model 6230A visibility meter. It can achieve from this process that the differences of visibility between two facilities were on the small side and had the high correlation coefficients over 0.67. Finally, it can reach a conclusion that this imaging lidar system can be a new instrument to measure the atmospheric visibility.