Aircraft Heading Measurement Potential from an Airborne Laser Scanner Using Edge Extraction

Dickman, Jeff; Haag, Maarten Uijt de

doi:10.1109/aero.2007.352972

Cited by 9 publications

(3 citation statements)

References 3 publications

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“…Schenk proposed the subtraction method in which the coordinates with errors subtracted the coordinates in the ideal case to build a system error model [23]. Dickman used a numerical simulation method to study the impact of random errors on the laser point coordinates for a flat terrain [24], but there was no more complex terrain simulation. Wang et al focused on the errors of digital surface model affected by the laser point cloud distribution for different terrains [25], but ignored the influence of airborne platform motion on the coordinate errors.…”

Section: Introductionmentioning

confidence: 99%

Motion error analysis of the 3D coordinates of airborne lidar for typical terrains

Tao¹,

Lan²,

Ni³

2013

Meas. Sci. Technol.

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A motion error model of 3D coordinates is established and the impact on coordinate errors caused by the non-ideal movement of the airborne platform is analyzed. The simulation results of the model show that when the lidar system operates at high altitude, the influence on the positioning errors derived from laser point cloud spacing is small. For the model the positioning errors obey simple harmonic vibration whose amplitude envelope gradually reduces with the increase of the vibration frequency. When the vibration period number is larger than 50, the coordinate errors are almost uncorrelated with time. The elevation error is less than the plane error and in the plane the error in the scanning direction is less than the error in the flight direction. Through the analysis of flight test data, the conclusion is verified.

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Section: Introductionmentioning

confidence: 99%

Motion error analysis of the 3D coordinates of airborne lidar for typical terrains

Tao¹,

Lan²,

Ni³

2013

Meas. Sci. Technol.

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“…For the study of RAME, Krabil et al [12] studied the elevation accuracy of reconstructed DSM for Greenland ice-covered area measured by an ALS system, which reflected the comprehensive impacts of all measurement errors of the ALS system on the reconstructed DSM. Dickman and Uijt De Haag [13] simulated impacts of RAME on the accuracy of the reconstructed DSM for a planar terrain. But few researches have reported a detailed quantitative evaluation of impacts of RAME on the elevation accuracy of reconstructed DSM, which is just the key point concerned by the end users.…”

mentioning

confidence: 99%

“…Up to now, many researchers have studied the influence of systematic attitude measurement errors on the positioning accuracy of laser points [9], [10]- [13]. For example, Schenk [9] studied the influence of systematic attitude measurement errors on point distribution and positioning error of laser points.…”

mentioning

confidence: 99%

Quantitatively Evaluating Random Attitude Measurement Errors' Impacts on DSM Elevation Accuracy From Airborne Laser Scanning

Wang

et al. 2013

IEEE Trans. Instrum. Meas.

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Impacts of random attitude measurement errors (RAME) made by the global positioning system (GPS)/inertial measurement unit (IMU) integrated system on elevation accuracy of a digital surface model (DSM) reconstructed from an airborne laser scanning (ALS) system were evaluated. By numerical simulation, three common terrain models, i.e., a planar, a rectangular, and a hemispheric terrain model, were established, and the scanning processes of the ALS system for the three terrain models were simulated to analyze the effects of RAME on reconstructed DSMs. Furthermore, a semiphysical simulation experimental setup was constructed to verify the results obtained from the numerical simulation. A physical terrain model was scanned to quantitatively evaluate the impacts of RAME on positioning accuracy of a laser point cloud and elevation accuracy of a reconstructed DSM. Experimental results show that under the condition of experimental "flight" height of 1310 mm and affected by two kinds of RAME with different standard deviations, i.e., 0.01°and 0.1°, the RMS values of elevation error of reconstructed DSMs increase 0.04 and 1.56 mm, respectively, corresponding to 0.015 and 0.595 m at actual flight height of 500 m. Therefore, if the elevation error of a reconstructed DSM caused by RAME is requested to be lower than 1 cm under the condition of flight height of 500 m, the random attitude measurement accuracy of the GPS/IMU integrated system should be higher than 0.01°(1σ) at least.Index Terms-Remote sensing, airborne laser scanning, laser point cloud, digital surface model, attitude measurement, random error, elevation accuracy, positioning accuracy.

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A method for compensating platform attitude fluctuation for helicopter-borne LiDAR: Performance and effectiveness

Wang

Fan

et al. 2018

Measurement

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Aircraft Heading Measurement Potential from an Airborne Laser Scanner Using Edge Extraction

Cited by 9 publications

References 3 publications

Motion error analysis of the 3D coordinates of airborne lidar for typical terrains

Motion error analysis of the 3D coordinates of airborne lidar for typical terrains

Quantitatively Evaluating Random Attitude Measurement Errors' Impacts on DSM Elevation Accuracy From Airborne Laser Scanning

A method for compensating platform attitude fluctuation for helicopter-borne LiDAR: Performance and effectiveness

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