Aircraft pose measurement and error correction based on image sequences

Limei Yang

doi:10.1117/12.836515

6 August 2009 Aircraft pose measurement and error correction based on image sequences

Limei Yang

Proceedings Volume 7384, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications; 73842L (2009) https://doi.org/10.1117/12.836515
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China

Abstract

Image sequences is introduced and used to aircraft pose measurement, with the combination of gereralized point photogrammetry theory and contour matching, image matching algorithm based on Hausdorff distance and Generalized point is put forward, Generalized point theory error model is established. At first according to OpenGL imaging mechanism photoelectric theodolite simulative imaging system is built to simulate aircraft image of different flying pose, and actual image is regard as standard image to calculate aircraft pose initial value on known exterior orientation parameters to drive simulative system to create image which is consistent with standard image contour, then simulative and standard edge is extracted and difference of edges is measured, Hausdorff distance method is used to adjust dynamically edge of simulative image to realize fast matching; Generalized point theory error model is used to correct aircraft pose to advance accuracy of aircraft pose of image sequences. Simulative experiment of 3Km and 5Km rocket pose of (45°,30°, 50°) is done, the result indicate the method is feasible and effective, the measurement accuracy of aircraft pose after correction is better than previously and measurement accuracy of aircraft pose is less than 0.1°.

Citation Download Citation

Limei Yang "Aircraft pose measurement and error correction based on image sequences", Proc. SPIE 7384, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications, 73842L (6 August 2009); https://doi.org/10.1117/12.836515

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