一种无人机影像点云提取海岛自然岸线的方法

针对从机载激光点云中提取海岸线方法的不足,提出了一种基于无人机影像DSM点云数据,结合潮汐模型提取海岛自然岸线的方法。采用计算机视觉理论与方法处理高分辨率无人机影像,获取高分辨、高精度的DSM点云,并由DSM点云生成DEM;通过等值线追踪法自动提取基于平均大潮高潮面的海岛岸线。实验结果表明:该方法提取的海岛自然岸线精度满足海道测量规范相关要求。

A Natural Island Coastline Extraction Method Based on UAV DSM Data

Aiming at the shortages of extracting coastline from LiDAR point clouds,a new method of using UAV DSM point clouds,combining with China offshore tide model is put forward. Firstly,the high resolution UAV images are processed following the computer vision method,and the high resolution and precision DSM point clouds are gained,which are used to produce DEM.Then,the coastline based on MHWS is abstracted based on isoline method.It is tested that the technology established in this research is capable of extracting nature coastline,and its accuracy meets the requirements of hydrographic survey specification.