Computation model and error budget for image motion of aerial imaging system

Hui, 孙辉 Sun; Shu-mei, 张淑梅 Zhang

doi:10.3788/ope.20122011.2492

Cited by 4 publications

(1 citation statement)

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“…The rapid rotation of the scanning mirror will induce a relative motion between the object and imaging medium over a long integral time. This relative motion will result in blurred images and smearing effects, both of which create image translation [11]. Image rotation and image translation can be collectively referred to as image motion.…”

Section: Introductionmentioning

confidence: 99%

Long Integral Time Continuous Panorama Scanning Imaging Based on Bilateral Control with Image Motion Compensation

Tian

Wang

et al. 2019

Remote Sensing

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Urban remote sensing with moving carriers enables comprehensive monitoring of an urban area. High spatial resolution and wide covering are always required to improve the performance and efficiency of remote sensing. Continuous scanning imaging is a feasible solution. However, imaging motion degrades the performance of a remote sensing system. Rotating motion leads to the loss of key urban morphology information of a panorama imaging. Image translation results in blurry images. For high spatial resolution and high efficiency imaging with low illumination condition, such as imaging at dusk, long-focus lens and long integral time must be further utilized, which makes the problem more severe. In this paper, a novel image motion compensation method is proposed to compensate for image rotation and image translation simultaneously. A quantitative description of image motion, including both image rotation and image translation, is first developed based on the principle of geometrical optics and then analyzed in detail through numerical simulations. Furthermore, a comprehensive image rotation compensation method is developed based on four-channel bilateral control with sliding mode controller, at the same time image translation compensation is performed according to the quantitative relationship of the motion of the scan mirror and image translation compensator. The experimental results show that the proposed method provides effective compensation for image rotation and image translation. This enables acquisition of high spatial resolution urban panoramic images.

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Section: Introductionmentioning

confidence: 99%

Long Integral Time Continuous Panorama Scanning Imaging Based on Bilateral Control with Image Motion Compensation

Tian

Wang

et al. 2019

Remote Sensing

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Improved Position Error Model for Airborne Hyperspectral Imaging Systems

Jiang

Gong

et al. 2019

Int. J. Patt. Recogn. Artif. Intell.

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An improved position error model for airborne hyperspectral imaging systems is proposed to quantify the position errors caused by the deficiencies of instruments and the manual installation of integrated systems. The model is based on a thorough analysis of position error sources, which include uncertainties caused by camera position and altitude, interior camera parameters, gyro stabilized mount, position setting error of the global positioning system antenna, and boresight angle error. An improved position error model that describes these error sources is established based on collinear equations. This model is then expanded into the first-order Taylor series. Finally, the error propagation law is applied to estimate the position errors. The performance of the proposed method is evaluated based on real hyperspectral images of Hymap. Results show that the mean square error of the position error is better than 2.1 pixels, which is almost the same as that of ground truth.

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Guaranteeing Prescribed Performance Control for Gyrostabilized Platform with Unknown Control Direction Preceded by Hysteresis

Wang

Lei

et al. 2019

International Journal of Aerospace Engineering

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This paper investigates the problem of precise and quick tracking for gyrostabilized platform (GSP) with unknown hysteresis, unknown control directions, and unknown compound disturbance. Firstly, the dynamic model of GSP is transformed into a strict feedback formulation by designed FD to facilitate the backstepping control system. Secondly, performance functions are constructed at each step of backstepping design to force tracking errors to fall within the prescribed boundaries. Besides, through ingenious transformation, radial basis function neural network (RBFNN) is applied to estimate the unknown control gains preceded by hysteresis. Hence, the problem of prescribed performance control with unknown compound disturbances, unknown hysteresis, and unknown control directions is creatively solved. Furthermore, the exploited controllers are accurate model independent, which guarantees satisfactory robustness of control laws against unknown uncertainties. Finally, the stability of the closed-loop control system is confirmed via Lyapunov stability theory, and numerical simulations are given for a GSP to validate the effectiveness of the proposed controller.

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Computation model and error budget for image motion of aerial imaging system

Cited by 4 publications

References 0 publications

Long Integral Time Continuous Panorama Scanning Imaging Based on Bilateral Control with Image Motion Compensation

Long Integral Time Continuous Panorama Scanning Imaging Based on Bilateral Control with Image Motion Compensation

Improved Position Error Model for Airborne Hyperspectral Imaging Systems

Guaranteeing Prescribed Performance Control for Gyrostabilized Platform with Unknown Control Direction Preceded by Hysteresis

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