• Infrared and Laser Engineering
  • Vol. 51, Issue 10, 20220003 (2022)
Yujia Li1、2, Xiaoqing Zhou1, Guoyuan Li1, Jinquan Guo1, Yue Ma3, and Yifu Chen4
Author Affiliations
  • 1Land Satellite Remote Sensing Application Center, Ministry of Natural Resources of P.R.China , Beijing 100048, China
  • 2School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China
  • 3School of Electronic Information, Wuhan University, Wuhan 430072, China
  • 4School of Computer Science, China University of Geosciences (Wuhan), Wuhan 430074, China
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    DOI: 10.3788/IRLA20220003 Cite this Article
    Yujia Li, Xiaoqing Zhou, Guoyuan Li, Jinquan Guo, Yue Ma, Yifu Chen. Progress and prospect of space-borne photon-counting lidar shallow water bathymetry technology[J]. Infrared and Laser Engineering, 2022, 51(10): 20220003 Copy Citation Text show less

    Abstract

    As a shallow water bathymetry technology, the space-borne laser measurement system can cover some remote waters that are difficult to reach by airborne/shipborne systems. It has unique advantages such as high measurement accuracy, working day-and-night ect. Taking a few sparse active space-borne laser measurements as the water depth calibration points, integrating passive space-borne remote sensing images, active and passive fusion is the current frontiers and hotspots in the field of bathymetry. We first introduces the working range, physical parameters and data products of space-borne photon-counting lidar, followed by the summarization of the measurement principle and theoretical transmission models, as well as the comparison of the advantages and disadvantages of different point cloud data denoising algorithms. At last, this paper concludes the application of space-borne fusion bathymetry inversion technology in different environ-ments, combs the process of technology development, summarizes the current problems, and looks forward to the future prospect and development direction of the technology.
    Yujia Li, Xiaoqing Zhou, Guoyuan Li, Jinquan Guo, Yue Ma, Yifu Chen. Progress and prospect of space-borne photon-counting lidar shallow water bathymetry technology[J]. Infrared and Laser Engineering, 2022, 51(10): 20220003
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