[1] Glenn N F, Neuenschwander A, Vierling L A et al. Landsat 8 and ICESat-2: performance and potential synergies for quantifying dryland ecosystem vegetation cover and biomass[J]. Remote Sensing of Environment, 185, 233-242(2016).

[2] Zhou X, Yang J, Li S. Model of sea surface echos from spaceborne single photon lidar[J]. Acta Optica Sinica, 41, 1928002(2021).

[3] Yao J Q, Zhai H R, Liu R et al. Analysis of atmospheric detection algorithm for photon laser altimetry satellite[J]. Laser & Optoelectronics Progress, 59, 2228002(2022).

[4] Jain M, Andersen O B, Dall J et al. Sea surface height determination in the Arctic Ocean from Cryosat2 SAR data, the impact of using different empirical retrackers[J]. Advances in Space Research, 55, 40-50(2015).

[5] Brown M E, Arias S D, Neumann T et al. Applications for ICESat-2 data: from NASA’s early adopter program[J]. IEEE Geoscience and Remote Sensing Magazine, 4, 24-37(2016).

[6] Krainak M A, Yu A W, Yang G N et al. Photon-counting detectors for space-based laser receivers[J]. Proceedings of SPIE, 7608, 760827(2010).

[7] Wang J W, Li X X, Zhang H Q. Terrain adaptive filtering method based on elevation normalization[J]. Laser & Optoelectronics Progress, 59, 1028008(2022).

[8] Nie S, Wang C, Xi X et al. Estimating the vegetation canopy height using micro-pulse photon-counting LiDAR data[J]. Optics Express, 26, A520(2018).

[9] Herzfeld U C, McDonald B W, Wallin B F et al. Algorithm for detection of ground and canopy cover in micropulse photon-counting lidar altimeter data in preparation for the ICESat-2 mission[J]. IEEE Transactions on Geoscience and Remote Sensing, 52, 2109-2125(2014).

[10] Awadallah M S. Image analysis techniques for LiDAR point cloud segmentation and surface estimation[D](2016).

[11] Brunt K M, Neumann T A, Amundson J M et al. MABEL photon-counting laser altimetry data in Alaska for ICESat-2 simulations and development[J]. The Cryosphere, 10, 1707-1719(2016).

[12] Xia S B, Wang C, Xi X H et al. Point cloud filtering and tree height estimation using airborne experiment data of ICESat-2[J]. Journal of Remote Sensing, 18, 1199-1207(2014).

[13] Cao B C, Fang Y, Jiang Z Z et al. Implementation and accuracy evaluation of ICESat-2 ATL08 denoising algorithms[J]. Bulletin of Surveying and Mapping, 25-30(2020).

[14] Ester M, Kriegel H P, Sander J et al. A density-based algorithm for discovering clusters in large spatial databases with noise[C](1996).

[15] Zhang J S, Kerekes J, Csatho B et al. A clustering approach for detection of ground in micropulse photon-counting LiDAR altimeter data[C], 177-180(2014).

[16] Wei S, Zhao N X, Li M L et al. Single photon denoising algorithm combined with improved DBSCAN and statistical filtering[J]. Laser Technology, 45, 601-606(2021).

[17] Li B B, Xie H, Tong X H et al. Land cover classification using ICESat-2 data with random forest[J]. Infrared and Laser Engineering, 49, 20200292(2020).

[18] Xie H, Ye D, Hai G et al. An adaptive filter based on local slope by adjusting elliptic filter kernel for ICESat-2 photon counting laser altimetric data[J]. EPJ Web of Conferences, 237, 01003(2020).

[19] Ma Y, Zhang W H, Sun J Y et al. Photon-counting lidar: an adaptive signal detection method for different land cover types in coastal areas[J]. Remote Sensing, 11, 471(2019).

[20] Xie F, Yang G, Shu R et al. An adaptive directional filter for photon counting Lidar point cloud data[J]. Journal of Infrared and Millimeter Waves, 36, 107-113(2017).

[21] Xu Y T. Research on the date processing technology of single photon laser altimetry: taking MABEL date as a example[D](2017).