遥感
卫星
高度计
仰角(弹道)
激光雷达
点云
环境科学
大地测量学
计算机科学
地质学
物理
天文
计算机视觉
作者
Huan Xie,Qi Xu,Dan Ye,Jianghao Jia,Yuan Tao Sun,Peiqi Huang,Ming Li,Shijie Liu,Feng Xie,Xiaolong Hao,Xiaohua Tong
标识
DOI:10.1109/jstars.2021.3094195
摘要
The Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) was launched on September 15, 2018. It is the first photon-counting laser altimeter satellite, which is of great significance for the research into laser altimetry. ICESat-2 is, however, highly sensitive and susceptible to environmental influences. In addition to surface returns, a lot of nonsurface photons are found in the data. It is, therefore, necessary to study an effective method to separate the surface signal from background information. In this article, we review the existing surface detection methods for photon point cloud data and select seven methods for comparison. Four sources of photon-counting data were considered in the experiments: The Multiple Altimeter Beam Experimental Lidar (MABEL), the Chinese Multibeam LiDAR, The Advanced Topographic Laser Altimeter System (ICESat-2/ATLAS), and MATLAS (using MABEL data to simulate the expected ATLAS photon point cloud). Four scenarios of land, land ice, sea ice, and ocean were also considered. Each surface detection method was tested in 12 experiments, and the different methods were finally compared by qualitative and quantitative measures. We were, thus, able to establish the advantages and disadvantages of each method, which will be of great significance for scholars studying surface detection methods.
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