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首页> 外文期刊>Photogrammetric Engineering & Remote Sensing: Journal of the American Society of Photogrammetry >The Effect of Terrestrial Surface Slope and Roughness on Laser Footprint Geolocation Error for Spaceborne Laser Altimeter
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The Effect of Terrestrial Surface Slope and Roughness on Laser Footprint Geolocation Error for Spaceborne Laser Altimeter

机译：地面坡度与粗糙度对太空激光高度计激光足迹地理位置误差的影响

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摘要

The quality of spaceborne laser altimeter observation mainly depends on the geolocation accuracy of laser footprint. To thoroughly analyze the footprint geolocation errors, mathematical models of Root-Mean-Square Error (RMSE) of laser footprint geolocation are established based on footprint geolocation procedure and principle of error propagation. Taking Geoscience Laser Altimeter System (GLAS) as an example, the influences of surface slope and roughness on the RMSE of laser footprint geolocation (LFG) are simulated. The simulation results for nine representative terrains indicate that the horizontal errors are constant of 5.86 meters that mainly caused by instrument mounting errors, laser pointing errors, and platform attitude errors; while the vertical error increases from 0.07 m to 2.49 m, which is primarily contributed by the laser pointing error. To validate the proposed mathematical model, 20 reference LFG differences are computed by the differences of original geolocation of GLAS and refined footprint geolocation based on a waveform matching method with coincident airborne Light Detection and Ranging (lidar) data. The validated results prove that the RMSE models of laser footprint geolocation are applicable in evaluating performance and sensor error allocations of spaceborne laser altimeter.
机译：星载激光高度计观察的质量主要取决于激光足迹的地理位置精度。为了彻底分析足迹地理位置误差，基于占地地理位置过程和误差传播原理建立了激光足迹地理位置的根均方误差（RMSE）的数学模型。采用地球科学激光高度计系统（GLAS）作为示例，模拟了表面斜率和粗糙度对激光占地地理位置（LFG）的影响。九个代表性地带的仿真结果表明水平误差是5.86米的恒定，主要由仪器安装误差，激光指示误差和平台姿态误差引起;虽然垂直误差从0.07米增加到2.49米，但主要由激光指示误差贡献。为了验证所提出的数学模型，通过基于具有重合空气光检测和测距（LIDAR）数据的波形匹配方法，通过GLAS和精细占地地理位置的原始地理位地地理位置的差异来计算20个参考LFG差异。经过验证的结果证明了激光足迹地理定位的RMSE模型适用于评估星载激光高度计的性能和传感器误差分配。

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  • 作者

    Zhou Hui; Chen Yuwei; Ma Yue; Li Song; Juha Hyyppa; Pei Ling;

  • 作者单位

    Wuhan Univ Geospatial Informat Collaborat Innovat Ctr Elect Informat Sch Luojia Hill Wuhan 430072 Hubei Peoples R China;

    Finnish Geospatial Res Inst Dept Remote Sensing &

    Photogrammetry Geodeetinrinne 2 Kyrkslatt 02431 Uusimaa Provinc Finland;

    Wuhan Univ Geospatial Informat Collaborat Innovat Ctr Elect Informat Sch Luojia Hill Wuhan 430072 Hubei Peoples R China;

    Wuhan Univ Geospatial Informat Collaborat Innovat Ctr Elect Informat Sch Luojia Hill Wuhan 430072 Hubei Peoples R China;

    Finnish Geospatial Res Inst Dept Remote Sensing &

    Photogrammetry Geodeetinrinne 2 Kyrkslatt 02431 Uusimaa Provinc Finland;

    Shanghai Jiao Tong Univ Sch Elect Informat &

    Elect Engn Shanghai Key Lab Nav &

    Locat Based Serv Shanghai 200240 Peoples R China;

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  • 正文语种 eng
  • 中图分类 测绘学;
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