GEO space debris flux determination based on earth-fixed coordinate system

Wang, Dongfang; Pang, Baojun; Xiao, Weike

doi:10.1016/j.actaastro.2016.10.017

Cited by 5 publications

(1 citation statement)

References 8 publications

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“…ENU is the rotation matrix from the East, North, and Up (ENU) coordinate system to the WGS84 coordinate system. The local ENU coordinate system can be defined by placing the origin in the earth-fixed local point, while the X-axis points in the eastward direction (E), the Y-axis points in the northward direction (N), and the Z-axis is in the same orientation as the vertical (U) [37]. R ENU body is the rotation matrix from the body coordinate system to the ENU coordinate system, and R(ϕ, ω) is the set over matrix related to the laser beam exit angle (ϕ, ω) [22,35].…”

Section: Laser-tight Geometric Positioning Modelmentioning

confidence: 99%

Accuracy Verification of Airborne Large-Footprint Lidar based on Terrain Features

Lian

Zhang

et al. 2020

Remote Sensing

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Accuracy verification of airborne large-footprint lidar data is important for proper data application but is difficult when ground-based laser detectors are not available. Therefore, we developed a novel method for lidar accuracy verification based on the broadened echo pulse caused by signal saturation over water. When an aircraft trajectory crosses both water and land, this phenomenon and the change in elevation between land and water surfaces can be used to verify the plane and elevation accuracy of the airborne large-footprint lidar data in conjunction with a digital surface model (DSM). Due to the problem of echo pulse broadening, the center-of-gravity (COG) method was proposed to optimize the processing flow. We conducted a series of experiments on terrain features (i.e., the intersection between water and land) in Xiangxi, Hunan Province, China. Verification results show that the elevation accuracy obtained in our experiments was better than 1 m and the plane accuracy was better than 5 m, which is well within the design requirements. Although this method requires specific terrain conditions for optimum applicability, the results can lead to valuable improvements in the flexibility and quality of lidar data collection.

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Section: Laser-tight Geometric Positioning Modelmentioning

confidence: 99%