• Journal of Infrared and Millimeter Waves
  • Vol. 41, Issue 6, 1051 (2022)
Yu WU1, Heng WANG1, Qi-Jin HAN2, Xiao-Xiang LONG2, Yue MA1, Qing-Peng LI2, Pu-Fan ZHAO1, and Song LI1、*
Author Affiliations
  • 1School of Electronic Information,Wuhan University,Wuhan 430072,China
  • 2China Center for Resources Satellite Data and Application,Beijing 100094,China
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    DOI: 10.11972/j.issn.1001-9014.2022.06.015 Cite this Article
    Yu WU, Heng WANG, Qi-Jin HAN, Xiao-Xiang LONG, Yue MA, Qing-Peng LI, Pu-Fan ZHAO, Song LI. A waveform matching-based method of improving laser footprint geolocation for GaoFen-7 spaceborne laser altimeter in mountainous areas[J]. Journal of Infrared and Millimeter Waves, 2022, 41(6): 1051 Copy Citation Text show less

    Abstract

    This paper proposed a geolocation method for laser footprints based on the waveform matching. Specifically, for a single laser footprint, the simulated waveform based on airborne lidar point cloud data as prior measurements was matched with the captured waveform of the Gaofen-7 SLA. Within a laser track, the correlation coefficient of the matching results in successive footprints was calculated to further estimate the laser pointing and ranging information and re-geolocate the laser footprints in mountainous areas. A study area (the Utah State in USA) with local airborne lidar data was selected to verify the proposed method. With the mean surface slope of approximately 20°, the elevation accuracy of GaoFen-7’s laser footprints were improved from (2.45±2.93) m to (0.27±0.61) m, which proved the effectiveness of the proposed method.
    Yu WU, Heng WANG, Qi-Jin HAN, Xiao-Xiang LONG, Yue MA, Qing-Peng LI, Pu-Fan ZHAO, Song LI. A waveform matching-based method of improving laser footprint geolocation for GaoFen-7 spaceborne laser altimeter in mountainous areas[J]. Journal of Infrared and Millimeter Waves, 2022, 41(6): 1051
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