星载光子计数激光测高植被冠层高度误差分析
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1.武汉大学 电子信息学院 激光遥感与光电检测实验室,湖北 武汉430072;2.昆明理工大学 理学院,云南 昆明 650051

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国家自然科学基金(41801261),云南省人培项目(KKSY201907027)


Error analysis of estimated canopy height based on photon counting laser altimetry
Author:
Affiliation:

1.School of Electronic Information, Wuhan University, Wuhan 430072,China;2.Faculty of Science, Kunming University of Science and Technology, Kunming 650051, China

Fund Project:

Supported by National Natural Science Foundation of China(41801261), Yunnan Province Talent Training Program(KKSY201907027)

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    摘要:

    通过建立植被的单光子探测模型,分析和计算了星载光子计数激光测高植被探测中,因单光子探测原理引起的植被冠层高度误差。实验表明,北方针叶林的星载光子计数测高中单次激光脉冲首次探测到的信号光子的平均高程低于LIDAR数据提供的DSM约2.435 m。仿真结果表明,提高发射脉冲能量,减小激光脉冲发散角有助于减小误差,而拥有更高郁闭度和叶面积指数的森林,其本身的探测误差也会相应减小。

    Abstract:

    Photon counting laser altimetry could detect the continuous elevation of the earth’s and vegetation’s surface. But, whether a single photon event could occur in a certain period is a random event according to echo energy and detection probability. Therefore, the set of received single photon events can not accurately represent the strength of an echo, which makes it difficult to determine the starting position in monopulse detection, and may cause an error when estimating vegetation’s canopy height. By establishing the photon counting detection model of vegetation, the error of canopy height caused by the principle of single photon detection is analyzed and calculated in this paper. Experimental results showed that the average elevation of the first detected signal photons was 2.435m lower than the DSM provided by LIDAR data from taiga forest. Still, it is helpful to reduce the error by increasing the energy or reducing the divergence angle of of emitted laser. And the errors of forests with higher canopy density and leaf area index are smaller accordingly.

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王玥,王虹,李松,周辉.星载光子计数激光测高植被冠层高度误差分析[J].红外与毫米波学报,2021,40(2):223~229]. WANG Yue, WANG Hong, LI Song, ZHOU Hui. Error analysis of estimated canopy height based on photon counting laser altimetry[J]. J. Infrared Millim. Waves,2021,40(2):223~229.]

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  • 收稿日期:2020-05-20
  • 最后修改日期:2021-03-31
  • 录用日期:2020-08-10
  • 在线发布日期: 2021-03-30
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