ICESat-2激光卫星光子点云去噪及水深探测

ICESat-2 laser satellite photon point cloud denoising and bathymetry

ICESat-2(ice,cloud,and land elevation satellite-2)是美国NASA最新发射的激光卫星,其搭载了先进的地形激光测高仪系统,不仅能够有效探测海面高度,而且能探测浅海水深地形;然而,ICESat-2大量的噪声光子给浅海水深地形探测带来巨大挑战。为了解决光子点云去噪问题,提出了两次聚类去噪算法和双向布料模拟滤波算法相结合的方法,有效提取了海底光子,提高了ICESat-2水深探测精度。利用澳大利亚东部某两处岛礁的ICESat-2实验数据,去噪结果表明本文提出的方法优于官方提取的去噪结果,通过与30 m格网实测水深地形数据比较,ICESat-2测深标准差优于0.236 m,获得了较为满意的水深探测结果。

ICESat-2(ice,cloud,and land elevation satellite-2)is the latest laser satellite launched by NASA.Equipped with advanced terrain laser altimeter system,ICESat-2 can effectively detect not only sea surface height,but also shallow water depth and terrain;However,a large number of noise photons in ICESat-2 bring great challenges to shallow water depth terrain exploration.In order to solve the problem of photon point cloud denoising,a method combining twice clustering denoising algorithm and bidirectional cloth simulation filtering algorithm is proposed in this paper,which can effectively extract seabed photons and improve the accuracy of ICESat-2 water depth detection.Using ICESat-2 data of two islands and reefs in eastern Australia,the denoising results show that the proposed method is better than the official denoising results.Compared with the measured bathymetric topographic data of 30m grid,the standard deviation of ICESat-2 sounding is better than 0.236 m,and a more satisfactory bathymetric detection result is obtained.