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机载激光测深波形分解中LM与EM参数优化方法比较 被引量:10

Comparison of LM and EM parameter optimization methods for airborne laser bathymetric full-waveform decomposition
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摘要 受作业环境与扫描条件的影响,机载激光测深全波形数据处理所得的参数分量初值精度通常较低,需采用优化方法在此基础上进一步调整分量参数以提高波形分解精度。本文代表性地选取了非线性阻尼最小二乘方法(Levenberg-Marquardt,LM)和期望最大化方法(expectation-maximization,EM)两种不同的参数优化方案,针对机载激光测深全波形数据的波形分解参数优化问题,结合实测和模拟波形数据对两种优化方法在相同初值条件下的波形模拟精度、扫描条件及其响应,以及水深估计偏差等方面的特征进行了详细的对比分析,着重探讨了两种参数优化方法所得结果的准确度与稳定性,并对其主要技术特征与效果差异进行了总结。 As operating environment and scanning conditions would affect the accuracy of the parameters of initial waveform decomposition,it is necessary to use some optimization method to adjust the initial parameters for making the results more precise.With the measured and simulated data,the strategies of Levenberg-Marquardt(LM)and expectation-maximization(EM)have been chosen typically in this paper.It is studied that the features of the waveform fitting precision,the scanning condition response and the depth of the deviation in the same initial parameters condition.The accuracy and stability of the data processing results has been discussed in detail,and the main technical features and the difference of the results of the two methods has been summarized in this paper.
作者 郭锴 刘焱雄 徐文学 何秀凤 张子引 刘海涛 GUO Kai;LIU Yanxiong;XU Wenxue;HE Xiufeng;ZHANG Ziyin;LIU Haitao(The First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061 China;Key Laboratory for Geo-Environmental Monitoring of Coastal Zone of the Ministry of Natural Resources, Shenzhen University, Shenzhen 518060, China;School of Earth Science and Engineering, Hohai University, Nanjing 210098, China;State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China;Economic and Technology Research Institute of State Grid Shandong Electric Power Company, Jinan 250022, China)
出处 《测绘学报》 EI CSCD 北大核心 2020年第1期117-131,共15页 Acta Geodaetica et Cartographica Sinica
基金 国家自然科学基金(41871381 41401537) 国家电网公司科技项目(JYYKJXM[2017]003) 中央级公益性科研院所基本科研业务费专项资金(2015P13)~~
关键词 机载激光测深 水下地形 海洋测绘 非线性阻尼最小二乘方法 期望最大化方法 airborne laser bathymetry underwater topographic survey hydrographic surveying Levenberg-Marquardt expectation-maximization
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