一种改进的机载激光测深深度偏差模型

A Correction Model for Depth Bias in Airborne LiDAR Bathymetry Systems

  • 摘要: 机载激光测深在潮间带获取海底地形应用中具有高效、灵活、经济等优点,但测深精度受海洋水文参数和仪器测量参数影响严重,传统偏差模型因顾及的要素不全面,修正精度不高。因此,采用逐步回归法构建了一种改进的顾及水深、水体含沙量、波束扫描角和传感器高度等参数的深度偏差修正模型。实验结果表明,机载激光测深原始水深经传统偏差模型和改进偏差模型修正后均能满足国际海道测量组织(International Hydrographic Organization,IHO)一等测深标准,且改进模型修正精度优于传统模型修正精度。

     

    Abstract: Airborne LiDAR bathymetry (ALB) has the characteristics of high efficiency and cost-effectiveness to obtain submarine topography in the intertidal zone. However, the accuracy of ALB is seriously affected by oceanic hydrological factors and cannot meet the accuracy standard of International Hydrographic Organization (IHO). Traditional correction models are used to correct the ALB depth biases. However, because the factors considered are not comprehensive enough in the traditional models, the accuracy of the traditional correction model for depth bias is not high. A comprehensive bias correction model and its construction method are proposed, which take into account the parameters of depth of water, suspended sediment concentration, beam scan angle and flight height. The traditional and the comprehensive models are used to correct the ALB depth biases. The experimental results show that ALB depth biases corrected by the both models can meet the accuracy standard of IHO, and the comprehensive model is better than the traditional model.

     

/

返回文章
返回