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Self-calibration of digital aerial camera using combined orthogonal models

机译:使用组合正交模型对数字航空相机进行自校准

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The emergence of new digital aerial cameras and the diverse design and technology used in this type of cameras require in-situ calibration. Self-calibration methods, e.g. the Fourier model, are primarily used; however, additional parameters employed in such methods have not yet met the expectations to desirably model the complex multiple distortions existing in the digital aerial cameras. The present study proposes the Chebyshev-Fourier (CHF) and Jacobi-Fourier (JF) combined orthogonal models. The models are evaluated for the multiple distortions using both simulated and real data, the latter being derived from an UltraCam digital camera. The results indicate that the JF model is superior to the other methods where, e.g., in the UltraCam scenario, it improves the planimetric and vertical accuracy over the Fourier model by 18% and 22%, respectively. Furthermore, a 30% and 16% of reduction in external and internal correlation is obtained via this approach which is very promising. (C) 2016 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS). Published by Elsevier B.V. All rights reserved.
机译:新型数码航空相机的出现以及这种类型相机中使用的多种设计和技术都需要进行现场校准。自校准方法,例如主要使用傅立叶模型;然而,在这种方法中采用的附加参数尚未达到期望地期望对数字航空相机中存在的复杂多重失真进行建模的期望。本研究提出了Chebyshev-Fourier(CHF)和Jacobi-Fourier(JF)组合正交模型。使用仿真数据和真实数据评估模型的多重失真,后者来自UltraCam数码相机。结果表明,JF模型优于其他方法,例如在UltraCam场景中,JF模型相对于Fourier模型将平面和垂直精度分别提高了18%和22%。此外,通过这种方法可以使外部和内部相关性降低30%和16%,这是非常有希望的。 (C)2016国际摄影测量与遥感学会(ISPRS)。由Elsevier B.V.发布。保留所有权利。

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