Laser & Optoelectronics Progress, Volume. 60, Issue 14, 1428001(2023)

Fast Extraction Technology of Multichannel Photon Counting LiDAR Information

Juan Sheng1,2, Bingna Zhang1,2、*, Jingsheng Zhai1,2, and Fengxiang Wang1
Author Affiliations
  • 1Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
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    References(13)

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    [8] Zhang J S, Kerekes J. An adaptive density-based model for extracting surface returns from photon-counting laser altimeter data[J]. IEEE Geoscience and Remote Sensing Letters, 12, 726-730(2015).

    [9] 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).

    [10] Moussavi M S, Abdalati W, Scambos T et al. Applicability of an automatic surface detection approach to micro-pulse photon-counting lidar altimetry data: implications for canopy height retrieval from future ICESat-2 data[J]. International Journal of Remote Sensing, 35, 5263-5279(2014).

    [11] 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-A540(2018).

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    Juan Sheng, Bingna Zhang, Jingsheng Zhai, Fengxiang Wang. Fast Extraction Technology of Multichannel Photon Counting LiDAR Information[J]. Laser & Optoelectronics Progress, 2023, 60(14): 1428001

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jul. 13, 2022

    Accepted: Jul. 29, 2022

    Published Online: Jul. 17, 2023

    The Author Email: Zhang Bingna (hustzbn@126.com)

    DOI:10.3788/LOP222064

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