摘要
双色机载激光雷达测深技术在海岸带水下地形测量方面具有明显的优势,测深数据的波形分解是其波形处理环节中的关键步骤。采用一种基于全局收敛LM(Levenberg Marquardt)算法的波形分解方法,通过综合分析近红外、浅水、深水通道的波形数据特点,设计了一种分层筛选策略并确定了合理的阈值,实现了水底和水面回波脉冲的准确检测。实测数据实验结果表明,该方法对实验区域获取的回波脉冲能够达到98%的有效检测率和87%的成功检测率。
Airborne LiDAR bathymetry technology has distinct advantages in seabed topography sxirveying in coastal zone.The waveform decomposition of detecting data is a key step in wavefom processing.Based on the iterative global convergence LM （Levenberg Marquardt） algorithm,concerning the characteristics of the waveform in near infraied, shallow and deep water channels,the algorithm is improved by a set of hierarchical filtering strategy.The influence of the noise is reduced effectively with the reasonable parameters of amplitude and half width threshold,and the echoes from both bottom and surface of the sea are precisely detected. Experimental results in the test area show that the proposed echo detection method reaches 98% of the effective rate and 87% of the successful rate.
出处
《海洋测绘》
CSCD
2018年第1期35-38,共4页
Hydrographic Surveying and Charting
基金
国家自然科学基金(41371436)
关键词
激光雷达测深
波形分解
高斯分解
全局收敛LM
分层筛选
LiDAR bathymetry
waveform decomposition
gaussian decomposition
iterative global convergence LM
hierarchical filtering
