摘要
双通道数据拼接技术能有效地增大激光雷达系统的动态探测范围,改善大气回波信号的信噪比。提出了一种基于非支配排序遗传算法Ⅱ(NSGA-Ⅱ)与邻域粗糙集(NRS)的大气遥感激光雷达数据拼接智能算法,即NRSWNSGA-Ⅱ,提高了数据拼接的准确性和稳定性。该算法以三个判断双通道数据拟合优度的评价函数为优化目标,通过NSGA-Ⅱ获得评价函数的Pareto最优解集,进而利用NRS训练数据样本得到的权重进行线性规划,实现了最优拟合范围内的全局随机搜索。实验结果表明,所提算法拼接效果良好并在全天性数据拼接工作中有较好的稳定性。
Two-channel data gluing technology can extend the dynamic detection range of lidar system effectively and improve the signal to noise ratio of atmospheric echo signal.A lidar data gluing technology based on the nondominated sorting genetic algorithm Ⅱ（NSGA-Ⅱ）and neighborhood rough set（NRS）is proposed to improve the accuracy and stability of data gluing.Three evaluation functions determining goodness of fitting are taken as objective functions and the Pareto optimal solution set is acquired by NSGA-Ⅱ.The weight which is acquired by NRS is applied to accomplishing the global random searching for the best fitting range.The experimental results show that the proposed algorithm has a favorable gluing result and works steadily in gluing tasks all day.
出处
《光学学报》
EI
CAS
CSCD
北大核心
2017年第6期13-21,共9页
Acta Optica Sinica
基金
国家重点研发计划(2016YFC0200700)
国家自然科学基金(41305014
61475141)
浙江省公益技术研究项目(2016C33004)
现代光学仪器国家重点实验室创新基金(MOI2015QN01)
关键词
大气光学
激光雷达
数据拼接
非支配排序遗传算法Ⅱ
邻域粗糙集
评价函数
atmospheric optics
lidar
data gluing
non-dominated sorting genetic algorithm Ⅱ
neighborhood rough set
evaluation function
