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摘要： 利用遥感影像提取海岸带地区水域点，容易受不同水域特征差异较大的影响。针对这一问题，考虑到机载激光雷达数据能够提供高程、强度、密度等信息，提出综合利用水域激光脚点的密度、高程、强度特征提取水域点的方法。首先利用局部水域点的密度特征得到初始水域点，然后用高程和强度特征进行约束，得到可靠水域点，并构建水域高程趋势面；进而利用点云相对于水域高程趋势面的相对高程提取出所有水域点。实验结果显示，利用该方法区分海岸带水域点精度达到了91%以上，能够快速提取较大范围的海岸带区域内的水域点。  关键词： 机载激光雷达(LiDAR);  水域提取;  点云;  特征分析     Abstract: Water regions extraction is of great significance to monitoring，research，planning and development of coastal zones.The conventional method of water regions extraction based on remote sensing image often has poor accuracy in coast because there are large differences among spectral character of different water regions which often change over time as well.To solve this problem，the elevation，intensity and point-density information from the highly accurate 3D mass points of airborne LiDAR was exploited to extract water regions.Firstly，a part of water points were extracted by the characteristics of low density，and then were constrained by the elevation and intensity threshold which came from Statistical table.Secondly，A triangulation network surface model was established based on the water points got from the previous step to describe the elevation trend of water surface.Lastly，all the points which near or behind the surface model was extracted as water points.The result of the accuracy evaluation indicates that the recogniton accuracy of water points is more than 91%.

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