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题名	机载双频激光雷达波形深度提取方法研究
作者	刘梦庚
文献子类	硕士
导师	陈卫标 贺岩
关键词	双频激光雷达 Dual-FrequencyLidar, Full-Waveform signal processing, DEM, daptive depth extraction algorithm 全波形数据处理 三维地形 自适应深度提取
其他题名	Research on Airborne Dual-Frequency Lidar waveform depth extract technology
英文摘要	光电水下探测技术始于20世纪60年代，Hickman和Hogg基于海水蓝绿窗口，搭建了世界上第一个激光水深测量系统，证实蓝绿激光测量系统应用于水下探测的可行性。之后美国、加拿大、澳大利亚、瑞典等国家争相研发机载激光测深系统，经过几代系统的升级，目前机载海洋激光雷达已经进入商业阶段。我国对机载海洋激光雷达系统研究起步较晚，始于20世纪80年代末，中科院上海光机所、中科技大学、中国海洋大学等单位都开展了相关的技术研究和系统研制，其中科院上海光机所研制的机载海洋激光雷达经过三代升级和改造，性能指标达到了国际同类产品的水平，目前处在产品样机阶段。本文基于中科院上海光机所研发的Mapper5000激光雷达系统以及该雷达在南海实测数据，对机载海洋激光雷达回波信号处理技术进行研究。现有的方法不能同时满足机载海洋雷达波形深度提取的精度要求和实时性要求，为了解决这一问题，提出自适应的深度提取算法，这种算法能够在实时处理条件下的运算算计内满足。 自适应的深度提取算法基于激光在大气-海中信道中传输的仿真对直接探测算法进行改进。首先，对蒙特卡洛仿真算法进行适用于激光雷达系统仿真情景的改进，基于改进后的蒙特卡洛仿真算法，对激光脉冲传输过程进行仿真，通过以实测水质参数和系统参数的仿真，生成飞行实验中不同深度的仿真波形，为雷达飞行实验数据海底回波提取提供基础。提出自适应的深度提取算法，采用自适应的匹配模板代替匹配滤波算法中单一的匹配模板，基于实测数据探究自适应的深度提取算法的性能，证明自适应的深度提取算法适合应用于对计算效率和精度都有要求的应用场景。; Photovoltaic underwater detection technology began in the 1960s. Hickman and Hogg set up the world's first laser depth measurement system based on seawater blue-green windows, confirming the feasibility of blue-green laser measurement systems for underwater exploration. Afterwards, the United States, Canada, Australia, and Sweden competed to develop airborne laser sounding systems. After several generations of system upgrades, airborne marine laser radars have entered the commercial phase. The research on airborne marine laser radar system in China started later than foreign countries. It began in the late 1980s. The Chinese Academy of Sciences, Shanghai Institute of Optics, China University of Science and Technology, and China Ocean University all carried out related technical research and system development. The airborne marine laser radar developed by the Shanghai Institute of Science and Technology has been upgraded and remodeled through three generations, and its technical indicators has reached the level of similar products in the world. It is currently in the product prototype stage. Based on the Mapper5000 laser radar system developed by the Shanghai Institute of Optics, Chinese Academy of Sciences and the Lidar data measured in the South China Sea, this paper studies the echo signal processing technology of the airborne marine Lidar.The existing methods can not satisfy the accuracy requirement and real-time requirement of the depth extraction of airborne ocean radar waveforms at the same time. In order to solve this problem, an adaptive depth extraction algorithm is proposed, which can be satisfied in the calculation calculation under real-time processing conditions. The adaptive depth extraction algorithm improves the direct detection algorithm based on the simulation of laser transmission in the atmosphere-sea channel. First of all,The Monte Carlo simulation algorithm is improved to fit the simulation of the laser radar system situation. Based on the improved Monte Carlo simulation algorithm, the laser pulse transmission process is simulated. Through the simulation of the measured water quality parameters and system parameters, the flight experiment is generated. Different depths of simulation waveforms provide the basis for radar echo data extraction.An adaptive depth extraction algorithm is proposed. An adaptive matching template is used instead of a single matching template in the matching filtering algorithm. Based on the measured data, the performance of the adaptive depth extraction algorithm is explored, and the adaptive depth extraction algorithm is proved to be suitable for computational efficiency. And accuracy have required application scenarios.
学科主题	光学工程
内容类型	学位论文
源URL	[http://ir.siom.ac.cn/handle/181231/31044]
专题	中国科学院上海光学精密机械研究所
作者单位	中国科学院上海光学精密机械研究所
推荐引用方式 GB/T 7714	刘梦庚. 机载双频激光雷达波形深度提取方法研究[D].

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