The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-3/W10
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W10, 105–110, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W10-105-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3/W10, 105–110, 2020
https://doi.org/10.5194/isprs-archives-XLII-3-W10-105-2020

  07 Feb 2020

07 Feb 2020

REVIEW OF NOISE FILTERING ALGORITHM FOR PHOTON DATA

J. P. Huang, Y. Q. Xing, and L. Qin J. P. Huang et al.
  • College of Engineering and Technology, Northeast Forestry University, Harbin, China

Keywords: ICESat-2/ATLAS, photon data, simulated photon-counting lidar, noise filtering algorithm

Abstract. As a continuation of Ice, Cloud, and Land Elevation Satellite-1 (ICESat-1)/Geoscience Laser Altimeter System (GLAS), the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) , which is equipped with the Advanced Topographic Laser Altimeter (ATLAS) system, was successfully launched in 2018. Since ICESat-1/GLAS has facilitated scientific results in the field of forest structure parameter estimation, how to use the ICESat-2/ATLAS photon cloud data to estimate forest structure parameters has become a hotspot in the field of spaceborne photon data application. However, due to the weak photon characteristics of the ICESat-2/ATLAS system, the system is extremely susceptible to noise, which poses a challenge for its subsequent accurate estimation of forest structural parameters. Aiming to filter out the noise photons, the paper introduces the advantages of the spaceborne lidar system ICESat-2/ATLAS than ICESat-1/GLAS. The paper summarizes the research of the simulated photon-counting lidar (PCL) noise filtering algorithm and noise filtering on spaceborne.