关键词: 水陆识别;机载激光测深;红外激光;绿激光;海洋测绘;

Abstract: Water-land identification plays an important role in the management of water-land resources and scientific research in estuarine and coastal zone. Waveform or point cloud features derived by airborne LiDAR bathymetry (ALB) were used to distinguish water and land. However, the traditional methods using ALB waveform features or 3D point clouds have their own shortcomings in complex ocean-land environment. This study proposed a water-land identification method by integrating the point cloud and waveform features of airborne LiDAR bathymetry. Firstly, the 3D point cloud elevations derived by IR laser were used as features to conduct ocean-land identification by using K-means clustering. Then, the features of IR and green laser waveforms were used to identify the inland waters. The proposed method was applied to a practical ALB measurement in Optech CZMIL. The results showed that the proposed method improved the accuracy of water-land identification by 3.6%~5.5% compared with the traditional point cloud clustering and waveform clustering methods.

Key words: water-land identification；airborne LiDAR bathymetry；infrared laser；green laser; marine survey