A waveform matching-based method of improving laser footprint geolocation for GaoFen-7 spaceborne laser altimeter in mountainous areas
Author:
Affiliation:

1.School of Electronic Information, Wuhan University, Wuhan 430072, China;2.China Center for Resources Satellite Data and Application, Beijing 100094, China

Clc Number:

TP733

Fund Project:

Supported by the National Science and Technology Major Project (11-Y20A12-9001-17/18, 42-Y20A11-9001- 17/18)

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    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.

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WU Yu, WANG Heng, HAN Qi-Jin, LONG Xiao-Xiang, MA Yue, LI Qing-Peng, ZHAO Pu-Fan, LI Song. 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):1051~1061

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History
  • Received:May 11,2022
  • Revised:November 08,2022
  • Adopted:June 07,2022
  • Online: November 07,2022
  • Published: