A new terrain matching method for estimating laser pointing and ranging systematic biases for spaceborne photon-counting laser altimeters

Zhao, Pufan; Li, Song; Ma, Yi; Liu, Xinyuan; Yang, Jiaji; Yu, Dian

doi:10.1016/j.isprsjprs.2022.04.015

Cited by 14 publications

(7 citation statements)

References 33 publications

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“…After adjustment, the STD of the crossover differences decreases from 0.81 m to 0.80 m. The improvement of only 0.01 m indicates that the bias of ICESat-2 terrain data between different beams was very small. As shown in Figure 10, the STD of the estimated systematic bias for all beams was 0.09 m and the MAE was 0.07 m. This is nearly consistent with the conclusion of a previous study [22], which showed that the ICESat-2 data product had a ranging bias of 0.13 m. The maximum and minimum systematic bias estimates were 0.29 and −0.27 m, respectively. Table 5 details the results before and after adjustment for the beams marked by the red star in Figure 10.…”

Section: Validation and Analysis Of Icesat-2 Measured Datasupporting

confidence: 89%

Section: Crossovers Accuracy Analysismentioning

confidence: 99%

“…It should be noted that main systematic biases in the ICESat-2 data products were calibrated [16,47,48]. However, ATL03 data products may still have small residual systematic biases [22,41]. The horizontal axis scale is a combination of the reference ground track (e.g., 0082) and the repetition cycle (e.g., 02).…”

Section: Crossovers Accuracy Analysismentioning

confidence: 99%

“…It will be difficult to apply this method to laser altimeters with thousands of beams in the future. The terrain matching method matches the known ground truth profile with the observation profile of the laser altimeter to estimate the system bias [19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

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Biases Analysis and Calibration of ICESat-2/ATLAS Data Based on Crossover Adjustment Method

et al. 2022

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The new-generation photon-counting laser altimeter aboard the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) has acquired unprecedented high-density laser data on the global surface. The continuous analysis and calibration of potential systematic biases in laser data are important for generating highly accurate data products. Current studies mainly calibrate the absolute systematic bias of laser altimeters based on external reference data. There are few studies that focus on the analysis and calibration of relative systematic biases in long-term laser data. This paper explores a method for systematic biases analysis and calibration of ICESat-2 laser data based on track crossovers for the first time. In the experiment, the simulated data and ICESat-2 data were used to verify the algorithm. The results show that, during the three-year period in orbit, the standard deviation (STD) and bias of the crossover differences of the ICESat-2 terrain data were 0.82 m and −0.03 m, respectively. The simulation validation well demonstrate that the crossover adjustment can calibrate the relative bias between different beams. For ICESat-2 data, the STD of the estimated systematic bias after crossover adjustment was 0.09 m, and the mean absolute error (MAE) was 0.07 m. Compared with airborne lidar data, the bias and root mean square error (RMSE) of the ICESat-2 data remained basically unchanged after adjustment, i.e., −0.04 m and 0.38 m, respectively. This shows that the current ICESat-2 data products possess excellent internal and external accuracy. This study shows the potential of crossover for evaluating and calibrating the accuracy of spaceborne photon-counting laser altimeter data products, in terms of providing a technical approach to generate global/regional high-accuracy point cloud data with consistent accuracy.

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Section: Validation and Analysis Of Icesat-2 Measured Datasupporting

confidence: 89%

Section: Crossovers Accuracy Analysismentioning

confidence: 99%

Section: Crossovers Accuracy Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Biases Analysis and Calibration of ICESat-2/ATLAS Data Based on Crossover Adjustment Method

et al. 2022

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“…Xie and team improved the efficiency of this method by implementing a pyramid optimization strategy [19]. Zhao et al designed a novel terrain-matching technique specifically for estimating systematic biases in pointing and ranging for spaceborne photon-counting laser altimeters [20]. This method, tailored to the attributes of the Ice, Cloud, and land Elevation Satellite-2 (ICESat-2) satellite, calibrates the laser altimeter by matching its ranging profiles with anticipated profiles derived from a robust model.…”

Section: Introductionmentioning

confidence: 99%

Fine Calibration Method for Laser Altimeter Pointing and Ranging Based on Dense Control Points

Xu,

Mo,

Wang

et al. 2024

Remote Sensing

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Satellite laser altimetry technology, a novel space remote sensing technique, actively acquires high-precision elevation information about the Earth’s surface. However, the accuracy of laser altimetry can be compromised by alterations in the satellite-ground environment, thermal dynamics, and cosmic radiation. These factors may induce subtle variations in the installation and internal structure of the spaceborne laser altimeter on the satellite platform, diminishing measurement precision. In-orbit calibration is thus essential to enhancing the precision of laser altimetry. Through collaborative calculations between satellite and ground stations, we can derive correction parameters for laser pointing and ranging, substantially improving the accuracy of satellite laser altimetry. This paper introduces a sophisticated calibration method for laser altimeter pointing and ranging that utilizes dense control points. The approach interpolates discrete ground control point data into continuous simulated terrain using empirical Bayesian kriging, subsequently categorizing the data for either pointing or ranging calibration according to their respective functions. Following this, a series of calibration experiments are conducted, prioritizing “pointing” followed by “ranging” and continuing until the variation in the ranging calibration results falls below a predefined threshold. We employed experimental data from ground control points (GCPs) in Xinjiang and Inner Mongolia, China, to calibrate the GaoFen-7 (GF-7) satellite Beam 2 laser altimeter as per the outlined method. The calibration outcomes were then benchmarked against those gleaned from infrared laser detector calibration, revealing disparities of 1.12 s in the pointing angle and 2 cm in the ranging correction value. Post validation with ground control points, the measurement accuracy was refined to 0.15 m. The experiments confirm that the proposed calibration method offers accuracy comparable to that of infrared laser detector calibration and can facilitate the updating of 1:10,000 topographic maps utilizing stereo optical imagery. Furthermore, this method is more cost-effective and demands fewer personnel for ground control point collection, enhancing resource efficiency compared to traditional infrared laser detector calibration. The proposed approach surpasses terrain-matching limitations when calibrating laser ranging parameters and presents a viable solution for achieving frequent and high-precision in-orbit calibration of laser altimetry satellites.

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Design of intelligent controller for obstacle avoidance and navigation of electric patrol mobile robot based on PLC

Liu,

Li,

et al. 2024

Sci Rep

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Currently, the obstacle avoidance control of patrol robots based on intelligent vision lacks professional controller module assistance. Therefore, this paper proposes a design method of intelligent controller for obstacle avoidance and navigation of electrical inspection mobile robot based on PLC control. The controller designs a laser range finder to determine the required position of electrical patrol inspection. Use PLC as the core controller, and combine sensors, actuators, communication module and PLC selection module in the process of hardware design to achieve autonomous navigation and obstacle avoidance functions of the robot. Then design the software including the PLC compiler system and the virtual machine module. Based on the above steps, design the control module of obstacle avoidance navigation, which realizes the key link of robot autonomous navigation. The test results show that the controller can successfully avoid obstacles, improve the efficiency and quality of inspection, and achieve accurate and fast obstacle avoidance navigation for the electrical inspection mobile robot.

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A new terrain matching method for estimating laser pointing and ranging systematic biases for spaceborne photon-counting laser altimeters

Cited by 14 publications

References 33 publications

Biases Analysis and Calibration of ICESat-2/ATLAS Data Based on Crossover Adjustment Method

Biases Analysis and Calibration of ICESat-2/ATLAS Data Based on Crossover Adjustment Method

Fine Calibration Method for Laser Altimeter Pointing and Ranging Based on Dense Control Points

Design of intelligent controller for obstacle avoidance and navigation of electric patrol mobile robot based on PLC

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