湍流廓线激光雷达的数据处理方法

封双连; 强希文; 宗飞; 李志朝; 常金勇; 赵军卫; 吴敏; 江钰

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

湍流廓线激光雷达的数据处理方法

封双连, 强希文, 宗飞, 李志朝, 常金勇, 赵军卫, 吴敏, 江钰

文章导航 > 红外与激光工程 > 2015 > 44(S1): 220-224

封双连, 强希文, 宗飞, 李志朝, 常金勇, 赵军卫, 吴敏, 江钰. 湍流廓线激光雷达的数据处理方法[J]. 红外与激光工程, 2015, 44(S1): 220-224.

引用本文:

封双连, 强希文, 宗飞, 李志朝, 常金勇, 赵军卫, 吴敏, 江钰. 湍流廓线激光雷达的数据处理方法[J]. 红外与激光工程, 2015, 44(S1): 220-224.

Feng Shuanglian, Qiang Xiwen, Zong Fei, Li Zhichao, Chang Jinyong, Zhao Junwei, Wu Min, Jiang Yu. Data processing techniques for turbulence profile Lidar[J]. Infrared and Laser Engineering, 2015, 44(S1): 220-224.

Citation:

Feng Shuanglian, Qiang Xiwen, Zong Fei, Li Zhichao, Chang Jinyong, Zhao Junwei, Wu Min, Jiang Yu. Data processing techniques for turbulence profile Lidar[J]. Infrared and Laser Engineering, 2015, 44(S1): 220-224.

湍流廓线激光雷达的数据处理方法

1.
西北核技术研究所,陕西西安 710024

基金项目:

国家重点实验室基金(SKLLIM1405)

详细信息

作者简介:
封双连(1982-),男,工程师,硕士,主要从事大气光学技术研究。Email:13899090943@163.com

中图分类号: TN249

Data processing techniques for turbulence profile Lidar

1.
Northwest Institute of Nuclear Technology,Xi'an 710024,China

摘要: 湍流廓线激光雷达是近十年出现的测量大气湍流强度廓线的新技术,目前数据处理已成为该技术的关键环节。对湍流廓线激光雷达的数据处理方法进行了详细地描述,重点研究了双光斑图像背景阈值计算方法与大气湍流强度廓线反演算法。比较了迭代法、最大类间方差法和统计法三种背景阈值计算方法分别在强信号与弱信号下的计算结果,得出统计法是比较适合双光斑图像的背景阈值计算方法。在背景阈值计算的基础上对图像进行分割并计算得到双光斑的质心距,统计多帧图像的质心距起伏得到达角起伏方差。然后利用HV-21模型模拟了从到达角起伏方差反演大气湍流强度廓线的算法,所得结果与原始值大小相近、整体变化趋势一致,但是不能反映原始值的细节变化趋势。
- 大气湍流廓线 /
- 大气折射率结构常数 /
- 激光雷达 /
- 数据处理 /
- 背景阈值
Abstract: The atmospheric turbulence profile Lidar is a new technique presented near ten years which is used to measure the optical turbulence altitude profile. Nowadays data processing becomes a significant problem of this technique. The data processing methods of the turbulence profile lidar were described in detail. Methods to calculate threshold values of dual light spot images and inversion of atmospheric turbulence profile were studied mainly. These threshold values calculated by iterative method, maximum classes variance method and statistic method were compared with each other, statistic method was an appropriate method to calculate threshold values of dual light spot images. And then coordinates of dual light spot were obtained and centroid distances were calculating based this threshold values. Arrival angle fluctuations were computed with centroid distances of multiple images. Inversion of atmospheric turbulence profile from arrival angle fluctuations was simulated with HV-21 model. These values retrieved and original data were in same magnitudes and same integrative trend but differed in partial curvilinear trend.
- atmospheric turbulence profile /
- atmospheric refractive index structure parameter /
- Lidar /
- data processing /
- threshold value

[1]
[2]	Rao Ruizhong. Introduction to Turbulence Atmospheric Optics[M]. Hefei: Anhui Science and Technology Publishing House, 2005: 6-8. (in Chinese)
[3]
[4]	Rao Ruizhong. Combined effect of turbulence and thermal blooming of laser propagation in atmosphere[J]. Infrared and Laser Engineering, 2006, 35(2): 130-134. (in Chinese)
[5]
[6]	Yuan Renmin, Zeng Zongyong, Xiao Liming, et al. Comparison of some methods of measuring refractive index structure parameter[J]. Acta Optica Sinica, 2000, 20(6): 755-761. (in Chinese)
[7]	Weng Ningquan, Xiao Liming, Gong Zhiben. The theory and experimental verification of 915M microwave radar[J]. Chinese Journal of Quantum Electronics, 2001, 18(1): 92-96. (in Chinese)
[8]
[9]
[10]	Ni Zhibo, Huang Honghua, Huang Yinbo, et al. Atmospheric turbulence profile measurement techniques based on scintillation method[J]. Infrared and Laser Engineering, 2010, 39(1): 160-165. (in Chinese)
[11]	Hou Zaihong, Wu Yi, Zhang Shouchuan, et al. Development of turbulence profile lidar[J]. High Power Laser and Particle Beams, 2006, 18(10): 1602-1604. (in Chinese) 侯再红, 吴毅, 张守川,等.湍流廓线激光雷达的研制[J].强激光与粒子束,2006,18(10):1602-1604.
[12]
[13]	Otsu N A. Threshold selection method from gray-level histogram[J]. IEEE Transaction System Man and Cybernetics, 1979, 9(1): 62-66.
[14]
[15]	Hu Bin, Gong Ningsheng. An improved Otsu's thresholding segmentation method[J]. Microelectronics Computer, 2009, 26(12): 153-155. (in Chinese)
[16]
[17]	Ian Gatland, John M Stewart, Gary G Gimmestad. Inversion techniques for the differential image motion lidar[C]//SPIE, 2009, 7324: 73240C_1-73240C_8.
[18]
[19]	Su Yi, Wan Min. High Energy Laser System[M]. Beijing: National Defense Industry Press, 2004: 130. (in Chinese)

[1]	张笑宇, 王凤香, 郭颖, 王文娟, 罗永锋, 武文, 侯佳, 姜紫庆, 彭梓强, 黄庚华, 舒嵘. 基于InGaAs单光子探测器的线阵扫描激光雷达及其光子信号处理技术研究 . 红外与激光工程, 2023, 52(3): 20220474-1-20220474-9. doi: 10.3788/IRLA20220474
[2]	杨彬, 莫祖斯, 刘海姣, 卜令兵. 大气探测激光雷达突变信号处理方法研究（特邀） . 红外与激光工程, 2022, 51(1): 20211117-1-20211117-9. doi: 10.3788/IRLA20211117
[3]	李光福, 南钢洋, 潘冬阳, 白雪, 刘帅, 孙志慧. 激光雷达测风系统信号采集处理研究 . 红外与激光工程, 2021, 50(S2): 20210467-1-20210467-7. doi: 10.3788/IRLA20210467
[4]	苗澍茁, 安宁, 高健, 温冠宇, 宋清丽, 董雪, 马磊, 范存波. SLR系统地靶数值仿真及数据处理 . 红外与激光工程, 2021, 50(9): 20200402-1-20200402-9. doi: 10.3788/IRLA20200402
[5]	徐冰清, 韩燕, 徐文静, 郑俊, 孙东松. 小视场大气温湿度探测的拉曼激光雷达的设计与仿真 . 红外与激光工程, 2021, 50(9): 20200410-1-20200410-9. doi: 10.3788/IRLA20200410
[6]	狄慧鸽, 华灯鑫. 底层大气探测激光雷达国内研究现状与进展（特邀） . 红外与激光工程, 2021, 50(3): 20210032-1-20210032-10. doi: 10.3788/IRLA20210032
[7]	冯振中, 杨镇源, 余臣, 白杨, 宋昭, 徐诗月, 高剑波. 高速高精度多线激光雷达信息处理设计及应用 . 红外与激光工程, 2021, 50(11): 20210684-1-20210684-8. doi: 10.3788/IRLA20210684
[8]	安宁, 关博文, 张旖伦, 高健, 温冠宇, 董雪, 马磊, 范存波. 卫星激光测距数据处理方法研究进展 . 红外与激光工程, 2021, 50(8): 20200408-1-20200408-9. doi: 10.3788/IRLA20200408
[9]	方勇, 曹彬才, 高力, 胡海彦, 江振治. 激光雷达测绘卫星发展及应用 . 红外与激光工程, 2020, 49(11): 20201044-1-20201044-9. doi: 10.3788/IRLA20201044
[10]	赵曰峰, 高静, 潘杰, 王旭, 张玉容, 李辉, 王艳琪, 段孟君, 岳伟伟, 蔡阳健, 许化强, 王晶晶. 基于激光雷达的区域大气颗粒物探测 . 红外与激光工程, 2020, 49(S2): 20200324-20200324. doi: 10.3788/IRLA20200324
[11]	滕曼, 庄鹏, 张站业, 李路, 姚雅伟. 大气气溶胶污染监测中应用的新型全天时户外型拉曼-米散射激光雷达系统 . 红外与激光工程, 2019, 48(7): 706001-0706001(7). doi: 10.3788/IRLA201948.0706001
[12]	郑永超, 王玉诏, 岳春宇. 天基大气环境观测激光雷达技术和应用发展研究 . 红外与激光工程, 2018, 47(3): 302002-0302002(14). doi: 10.3788/IRLA201847.0302002
[13]	尚震, 谢晨波, 王邦新, 谭敏, 钟志庆, 王珍珠, 刘东, 王英俭. 纯转动拉曼激光雷达探测北京地区近地面大气温度 . 红外与激光工程, 2017, 46(10): 1030001-1030001(8). doi: 10.3788/IRLA201764.1030001
[14]	邓潘, 张天舒, 陈卫, 刘洋. 合肥上空中层大气密度和温度的激光雷达探测 . 红外与激光工程, 2017, 46(7): 730003-0730003(6). doi: 10.3788/IRLA201746.0730003
[15]	熊兴隆, 韩永安, 蒋立辉, 陈柏纬, 陈星. 基于速度结构函数的多普勒激光雷达低空湍流预警算法 . 红外与激光工程, 2017, 46(10): 1030005-1030005(7). doi: 10.3788/IRLA201768.1030005
[16]	邓潘, 张天舒, 陈卫, 刘建国, 刘洋. 大气探测激光雷达噪声比例因子及信噪比的估算 . 红外与激光工程, 2016, 45(S1): 81-86. doi: 10.3788/IRLA201645.S130003
[17]	邓潘, 张天舒, 刘建国, 刘洋, 董云升, 范广强. 532 nm和355 nm瑞利激光雷达观测中层大气的数据对比分析 . 红外与激光工程, 2016, 45(S2): 19-25. doi: 10.3788/IRLA201645.S230001
[18]	周颖捷, 周安然, 孙东松, 强希文, 封双连. 差分像移大气湍流廓线激光雷达的研制 . 红外与激光工程, 2016, 45(11): 1130001-1130001(5). doi: 10.3788/IRLA201645.1130001
[19]	靳辰飞, 胡鹏, 张思琦, 刘丽萍, 赵远, 谭立英. 增益调制激光雷达弱信号的双阈值处理分析 . 红外与激光工程, 2014, 43(8): 2447-2452.
[20]	孙刚, 翁宁泉, 张彩云, 高慧, 吴毅. 基于NOAA模式的典型地区大气湍流高度分布 . 红外与激光工程, 2014, 43(2): 388-393.

点击查看大图

计量

文章访问数: 512
HTML全文浏览量: 96
PDF下载量: 206
被引次数: 0

湍流廓线激光雷达的数据处理方法

1. 西北核技术研究所,陕西西安 710024

作者简介:
封双连(1982-),男,工程师,硕士,主要从事大气光学技术研究。Email:13899090943@163.com

收稿日期: 2015-10-05
修回日期: 2015-11-10
刊出日期: 2016-01-25

基金项目:

国家重点实验室基金(SKLLIM1405)

中图分类号: TN249

关键词:

摘要: 湍流廓线激光雷达是近十年出现的测量大气湍流强度廓线的新技术,目前数据处理已成为该技术的关键环节。对湍流廓线激光雷达的数据处理方法进行了详细地描述,重点研究了双光斑图像背景阈值计算方法与大气湍流强度廓线反演算法。比较了迭代法、最大类间方差法和统计法三种背景阈值计算方法分别在强信号与弱信号下的计算结果,得出统计法是比较适合双光斑图像的背景阈值计算方法。在背景阈值计算的基础上对图像进行分割并计算得到双光斑的质心距,统计多帧图像的质心距起伏得到达角起伏方差。然后利用HV-21模型模拟了从到达角起伏方差反演大气湍流强度廓线的算法,所得结果与原始值大小相近、整体变化趋势一致,但是不能反映原始值的细节变化趋势。

English Abstract

Data processing techniques for turbulence profile Lidar

1. Northwest Institute of Nuclear Technology,Xi'an 710024,China

Received Date: 2015-10-05
Rev Recd Date: 2015-11-10
Publish Date: 2016-01-25

Keywords:

atmospheric turbulence profile /
atmospheric refractive index structure parameter /
Lidar /
data processing /
threshold value

Abstract: The atmospheric turbulence profile Lidar is a new technique presented near ten years which is used to measure the optical turbulence altitude profile. Nowadays data processing becomes a significant problem of this technique. The data processing methods of the turbulence profile lidar were described in detail. Methods to calculate threshold values of dual light spot images and inversion of atmospheric turbulence profile were studied mainly. These threshold values calculated by iterative method, maximum classes variance method and statistic method were compared with each other, statistic method was an appropriate method to calculate threshold values of dual light spot images. And then coordinates of dual light spot were obtained and centroid distances were calculating based this threshold values. Arrival angle fluctuations were computed with centroid distances of multiple images. Inversion of atmospheric turbulence profile from arrival angle fluctuations was simulated with HV-21 model. These values retrieved and original data were in same magnitudes and same integrative trend but differed in partial curvilinear trend.