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基于分层异构模型的机载激光测深波形拟合算法

亓超,  宿殿鹏,  王贤昆,  王明伟,  石波,  阳凡林

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文章导航 > 红外与激光工程  > 2019 >  48(2): 206004-0206004(8)
亓超, 宿殿鹏, 王贤昆, 王明伟, 石波, 阳凡林. 基于分层异构模型的机载激光测深波形拟合算法[J]. 红外与激光工程, 2019, 48(2): 206004-0206004(8). doi: 10.3788/IRLA201948.0206004
引用本文: 亓超, 宿殿鹏, 王贤昆, 王明伟, 石波, 阳凡林. 基于分层异构模型的机载激光测深波形拟合算法[J]. 红外与激光工程, 2019, 48(2): 206004-0206004(8). doi: 10.3788/IRLA201948.0206004
shu
Qi Chao, Su Dianpeng, Wang Xiankun, Wang Mingwei, Shi Bo, Yang Fanlin. Fitting algorithm for airborne laser bathymetric waveforms based on layered heterogeneous model[J]. Infrared and Laser Engineering, 2019, 48(2): 206004-0206004(8). doi: 10.3788/IRLA201948.0206004
Citation: Qi Chao, Su Dianpeng, Wang Xiankun, Wang Mingwei, Shi Bo, Yang Fanlin. Fitting algorithm for airborne laser bathymetric waveforms based on layered heterogeneous model[J]. Infrared and Laser Engineering, 2019, 48(2): 206004-0206004(8). doi: 10.3788/IRLA201948.0206004
shu

基于分层异构模型的机载激光测深波形拟合算法

doi: 10.3788/IRLA201948.0206004
  • 1.

    山东科技大学 测绘科学与工程学院,山东 青岛 266590;

  • 2.

    海岛(礁)测绘技术国家测绘地理信息局重点实验室,山东 青岛 266590

基金项目: 

国家重点研发计划项目（2017YFC1405006，2018YFF0212203，2016YFB0501705，2016YFC1401210）;国家自然科学基金（11704225，41471331）;山东省重点研发计划项目（2018GHY115002）

详细信息
    作者简介:

    亓超(1994-),男,硕士生,主要从事机载激光测深及其数据处理方面的研究。Email:qichoice@foxmail.com

    通讯作者: 宿殿鹏(1988-),男,博士生,主要从事机载激光测深及其数据处理方面的研究。Email:sudianpeng@126.com

  • 中图分类号: P229

Fitting algorithm for airborne laser bathymetric waveforms based on layered heterogeneous model

  • 1.

    College of Geomatics,Shandong University of Science and Technology,Qingdao 266590,China;

  • 2.

    Key Laboratory of Surveying and Mapping Technology on Island and Reef,National Administration of Surveying,Mapping and Geoinformation,Qingdao 266590,China

  • 摘要: 波形拟合是机载激光测深数据处理的关键环节，能够为水下地形测量、海底底质分类和水体浑浊度分析等应用领域提供数据基础。针对传统机载激光测深波形拟合算法受噪声干扰严重、对复杂波形形状拟合不准确的问题，提出一种基于分层异构模型的机载激光测深波形拟合算法。针对波形不同组成部分的相应特性，采用异构函数（水面-高斯函数、水体-双指数函数及水底-B样条函数）构建分层异构模型，分别进行拟合，从而实现对各部分波形信号的拟合。采用南海实测数据对所提算法进行了验证，结果表明：该算法拟合波形的平均运行时间T为0.019 4 s，相比于RL（Richardson-Lucy）去卷积算法提高0.328 6 s；平均均方根误差（Root Mean Square Error，RMSE）为6.222 4，相比于双高斯函数拟合算法平均均方根误差RMSE、平均决定系数（Coefficient of determination，R2）、平均相关系数（Correlation Coefficient，CORR）和相关系数标准差（Standard Deviation，STD）分别提高65.11%、2.83%、1.01%和86.61%，保证了拟合效率和拟合精度。算法具有良好的鲁棒性，能够有效满足机载激光测深科学研究和工程应用的技术需求。
    Abstract: Waveform fitting is a key point in data processing of airborne laser bathymetry (ALB), which can provide the foundation data for water depth calculation, submarine sediment classification and water turbidity analysis. Traditional waveform fitting algorithms are often disturbed by noise. In addition, the problem of the present algorithms is that the fitting of complex waveform is not accurate. Therefore, a new waveform fitting algorithm for ALB based on layered heterogeneous model was proposed in this paper. According to the corresponding characteristics of different components of waveform, the ALB waveforms were fitted to a combination of three functions:a Gaussian function for the water surface contribution, a B-spline function for the water bottom contribution, and a Double-exponential function to fit the water column contribution. The performance of the proposed fitting model was verified by the measured data from the South China Sea, compared with three classical waveform processing algorithms:the Double-Gaussian, Generalized-Gaussian, and Richardson-Lucy (RL) deconvolution. The experimental results demonstrate that the proposed fitting model performs best in terms of waveform fitting accuracy and efficiency. The average running time T of the proposed fitting model is 0.019 4 s, saving 0.328 6 s than RL deconvolution. The proposed fitting model performs significantly better than the Double-Gaussian algorithm by reducing 65.11%, 2.83%, 1.01% and 86.61% of their average root mean square error(RMSE), average coefficient of determination(R2), average correlation coefficient(CORR) and average correlation coefficient standard deviation(STD), respectively. The proposed fitting model has the great robustness and can effectively meet the technical requirements of the scientific research and engineering application for ALB.
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出版历程
  • 收稿日期:  2018-09-17
  • 修回日期:  2018-10-26
  • 刊出日期:  2019-02-25

基于分层异构模型的机载激光测深波形拟合算法

doi: 10.3788/IRLA201948.0206004
  • 1. 山东科技大学 测绘科学与工程学院,山东 青岛 266590;
  • 2. 海岛(礁)测绘技术国家测绘地理信息局重点实验室,山东 青岛 266590
    • 作者简介:

    亓超(1994-),男,硕士生,主要从事机载激光测深及其数据处理方面的研究。Email:qichoice@foxmail.com

    通讯作者: 宿殿鹏(1988-),男,博士生,主要从事机载激光测深及其数据处理方面的研究。Email:sudianpeng@126.com
  • 收稿日期: 2018-09-17
  • 修回日期: 2018-10-26
  • 刊出日期: 2019-02-25
基金项目:

国家重点研发计划项目（2017YFC1405006，2018YFF0212203，2016YFB0501705，2016YFC1401210）;国家自然科学基金（11704225，41471331）;山东省重点研发计划项目（2018GHY115002）

  • 中图分类号: P229

摘要: 波形拟合是机载激光测深数据处理的关键环节，能够为水下地形测量、海底底质分类和水体浑浊度分析等应用领域提供数据基础。针对传统机载激光测深波形拟合算法受噪声干扰严重、对复杂波形形状拟合不准确的问题，提出一种基于分层异构模型的机载激光测深波形拟合算法。针对波形不同组成部分的相应特性，采用异构函数（水面-高斯函数、水体-双指数函数及水底-B样条函数）构建分层异构模型，分别进行拟合，从而实现对各部分波形信号的拟合。采用南海实测数据对所提算法进行了验证，结果表明：该算法拟合波形的平均运行时间T为0.019 4 s，相比于RL（Richardson-Lucy）去卷积算法提高0.328 6 s；平均均方根误差（Root Mean Square Error，RMSE）为6.222 4，相比于双高斯函数拟合算法平均均方根误差RMSE、平均决定系数（Coefficient of determination，R2）、平均相关系数（Correlation Coefficient，CORR）和相关系数标准差（Standard Deviation，STD）分别提高65.11%、2.83%、1.01%和86.61%，保证了拟合效率和拟合精度。算法具有良好的鲁棒性，能够有效满足机载激光测深科学研究和工程应用的技术需求。

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