联合机载激光测深波形和点云的水陆识别方法研究  

Water-land identification method by integrating point cloud and waveform features of airborne LiDAR bathymetry

作　　者：王晓阳 周丰年 赵兴磊 李西灿[1] WANG Xiaoyang;ZHOU Fengnian;ZHAO Xinglei;LI Xican(College of Information Science and Engineering,Shandong Agricultural University,Tai an 271018,China;The Survey Bureau of Hydrology and Water Resources of Yangtze Estuary,Hydrology Bureau of Changjiang Water Resources Commission,Shanghai 200136,China)

机构地区：[1]山东农业大学信息科学与工程学院,山东泰安271018 [2]长江水利委员会水文局长江口水文水资源勘测局,上海200136

出　　处：《人民长江》2022年第1期132-136,共5页Yangtze River

基　　金：国家自然科学基金项目(41906166)。

摘　　要：水陆识别在河口海岸带水陆资源管理和科学研究中具有重要作用。利用机载激光测深(Airborne LiDAR bathymetry,ALB)回波波形和点云信息可实现水陆交界区域高精度和高分辨率水陆识别。但在复杂海陆环境区域,采用ALB波形特征或三维点云高程特征的传统识别方法具有各自不足。针对复杂海陆环境区域高精度水陆识别问题,提出了联合ALB波形和三维点云特征的水陆识别方法。首先,利用红外激光获取的三维点云高程,基于K-means聚类方法进行海陆识别。然后,利用红外和绿激光波形信息识别陆地中的内陆水域。将该方法应用于实际Optech CZMIL水陆识别。结果表明:相比传统点云聚类和波形聚类水陆识别方法,该方法将ALB水陆识别精度提高了3.6%~5.5%。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.

关 键 词：水陆识别 机载激光测深 红外激光 绿激光 海洋测绘 

分 类 号：P715[天文地球—海洋科学]