非露天的养殖水域，由于水域顶部受到遮挡，目前尚未有系统且高效的遥感技术提取方案。为了提取非露天养殖的“温棚虾塘”范围，提出了一种基于机载LiDAR点云数据强度信息的“温棚虾塘”自动提取方法。首先对预处理后的点云按强度信息进行栅格化处理，统计分析栅格影像的归一化点云强度；其次根据覆膜虾塘在近红外波段高回波的特征确定强度阈值，按强度阈值过滤并提取“温棚虾塘”点云；最后对点云进行聚合处理并结合形态学特征进行优化提取。该方法具有创新性，在福建漳浦县南境村实现了高精度虾塘边界的自动提取，为高效管理“温棚虾塘”、规划配套设施和科学估计养殖规模等提供了参考依据。

For non-open aquaculture waters, there is no systematic and efficient remote sensing technology extraction solution due to the top of the water body being covered. In order to extract the range of greenhouse, shrimp and pond in the non-open aquaculture, we proposed a greenhouse, shrimp and pond automatic extraction method based on the intensity information of airborne LiDAR point cloud data. Firstly, we rasterized the preprocessed point cloud according to the intensity information, and statistically analyzed the normalized point cloud intensity of grid image. Then, based on the characteristic of high backscatter in the near-infrared band of the covered pond, we determined the intensity threshold,and filtered and extracted the greenhouse, shrimp and pond point cloud according to the intensity threshold. Finally, we aggregated the point cloud and optimized the extraction in combination with morphological features. The method is innovative and achieved high-precision automatic extraction of shrimp and pond boundaries in Nanjing Village, Fujian Province, providing scientific reference for efficient management of greenhouse, shrimp and pond, planning of supporting facilities, and scientific estimation of aquaculture scale.