Semi-Parametric Model Kinematic Calibration of Photoelectric Detecting System

Anzhi, 罗安治 Luo; Hui, 孙辉 Sun; Hong-guang, 贾宏光 Jia; Ming, 赵明 Zhao

doi:10.3788/aos201636.0104001

Cited by 2 publications

(1 citation statement)

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“…However, when an aerial camera acquires highprecision and high-quality images, any mechanical errors may cause optical axis pointing errors and reduce the image quality [6]. Therefore, it is necessary to analyze the mechanical errors, and avoid their influence on image quality using error compensation [7,8]. In this paper, we consider perpendicularity and rotational errors as well as nonlinear mechanical errors.…”

Section: Introductionmentioning

confidence: 99%

Modeling, measurement, and calibration of three-axis integrated aerial camera pointing errors

Líu¹,

Zhou²,

Liu³

et al. 2021

Meas. Sci. Technol.

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Aerial cameras are currently widely used in various fields. However, traditional aerial cameras have certain limitations. We propose a new three-axis integrated aerial camera that can significantly improve imaging efficiency. Both traditional aerial cameras and three-axis integrated aerial cameras suffer from reductions in image quality due to mechanical errors. In this paper, we analyze the influence of mechanical errors on pointing errors and establish a pointing parametric model (PM) based on spatial coordinate transformation and ray tracing. We also consider how the presence of nonlinear errors in aerial cameras affects image quality, and propose a semi-parametric model (SPM) to compensate for nonlinear errors. The PM and the SPM can be used to calibrate the pointing of aerial cameras. In addition, we propose an improved measurement method that can gauge the pointing errors that occur when the three-axis integrated aerial camera rotates to different angles. The results prove that both the PM and the SPM can effectively calibrate the pointing of the aerial camera. Following calibration using the SPM, the pointing errors were greatly reduced. The mean was reduced by more than two orders of magnitude, and the variance was reduced by 99.95%. The SPM completes the pointing calibration better than the PM.

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Section: Introductionmentioning

confidence: 99%

Modeling, measurement, and calibration of three-axis integrated aerial camera pointing errors

Líu¹,

Zhou²,

Liu³

et al. 2021

Meas. Sci. Technol.

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Design and analysis of optical system of semi-active laser seeker

Dong

2020

J. Phys.: Conf. Ser.

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The laser seeker is an important part of navigation guided weapons. The working principle of the laser seeker was expounded, and the optical system of the seeker was designed according to the system index requirements. Its optical system is mainly composed of a receiving optical lens combination and a four-quadrant detector. According to the system performance and technical indicators such as the detection distance of the seeker, the receiving clear aperture, and distortion, the laser imaging spot diameter and the center position range were simulated. The optical system model was established by using CODE-V software. And the spot quality was optimized and evaluated through distortion, trace map, and radial envelope energy curve. Finally, an optical system that satisfies the requirements is designed, and the spot imaging quality is great, and the angular tracking accuracy reaches 0.10° / s.

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Semi-Parametric Model Kinematic Calibration of Photoelectric Detecting System

Cited by 2 publications

References 0 publications

Modeling, measurement, and calibration of three-axis integrated aerial camera pointing errors

Modeling, measurement, and calibration of three-axis integrated aerial camera pointing errors

Design and analysis of optical system of semi-active laser seeker

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