Restoration of TDI camera images with motion distortion and blur

Wu, Jiagu; Zheng, Zhenrong; Feng, Hao; Xu, Zhihai; Li, Qi; Chen, Yueting

doi:10.1016/j.optlastec.2010.03.010

Cited by 14 publications

(8 citation statements)

References 19 publications

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“…The National Development Agency of Japan conducted vibration measurement tests on the test satellite ETS-VI, and the results showed that 83.6% of the vibration energy was concentrated in the range of 0.39-10 Hz, and more than 99% of the energy was below 102 Hz (Toyoshima and Araki, 2001). Many scholars have therefore concluded that the micro-vibrations that strongly affect the imaging quality are mainly concentrated in those with larger amplitudes below 100 Hz (Wu et al, 2010).…”

Section: Critical Frequency Band Of Optical Satellitesmentioning

confidence: 99%

“…Accessing to public literature, researchers seem to have approximately the same opinion about the micro-vibration sensitive frequency band. The frequency and amplitude of satellite bus jitter show an inverse relationship, that is, as the frequency increases, the amplitude decreases (J and J, 1984; Seery, 1990; Toyoshima and Araki, 2001; Wu et al, 2010). Scholars found three main frequency bands of satellite bus jitter source in Landsat-4 satellite through quantitative measurements: 1–2 Hz jitter effect from solar sail disturbance, 20–40 Hz jitter effect from attitude adjustment, and higher frequency above 100 Hz caused by onboard motion devices (J and J, 1984).…”

Section: Critical Frequency Band Of Optical Satellitesmentioning

confidence: 99%

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Study of the multi-excitation decoupling optimization method for the integrated structure of a high-resolution optical satellite

Yang

Wang

2022

Journal of Vibration and Control

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In this paper, the sensitive frequency band for distortion and blurring phenomena of the in-orbit satellite is studied and the results are supplements for existing studies and can provide an important reference for the study of micro-vibration. To contain the large-amplitude and micro-vibration excitation response in this sensitive frequency band, a multi-excitation decoupling optimization method is proposed for the integrated structure of high-resolution optical satellites. First, the equivalent dynamics models of the satellite with and without an vibration isolator are established. By deriving the functional relationship between satellite bus stiffness, vibration isolator stiffness, and vibration isolation efficiency, the design objectives can be decoupled and assigned to the vibration isolator and satellite bus in a more cost-effective way, respectively, while maintaining a low computation volume of the multi-objective and multi-variable system optimization. Then, the satellite system is optimized with the objectives of minimizing the large-amplitude vibration response in the launch phase and the micro-vibration response in the orbital operation phase using the NSGA-II genetic algorithm. Finally, the design is verified by ground experiments that it can fully achieve required technical parameters under multiple vibration excitations. This method has certain reference value for the design of complex structural systems of high-resolution satellites.

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Section: Critical Frequency Band Of Optical Satellitesmentioning

confidence: 99%

Section: Critical Frequency Band Of Optical Satellitesmentioning

confidence: 99%

Study of the multi-excitation decoupling optimization method for the integrated structure of a high-resolution optical satellite

Yang

Wang

2022

Journal of Vibration and Control

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“…Becker [67] conducted a study of motion blur evaluation by use of different basic approaches and instruments with a variety of parameter variations. Wu et al [68] presented a row by row degradation model of the images and developed a restoration approach to compensate the space-variant degradation. Ishida et al [69] proposed a method to improve the recognition accuracy of camera-captured characters without restoring images.…”

Section: Systematic Errors Assessment Andmentioning

confidence: 99%

A Review of Machine Vision-Based Structural Health Monitoring: Methodologies and Applications

2016

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In the past two decades, a significant number of innovative sensing and monitoring systems based on the machine vision-based technology have been exploited in the field of structural health monitoring (SHM). This technology has some inherent distinctive advantages such as noncontact, nondestructive, long distance, high precision, immunity to electromagnetic interference, and large-range and multiple-target monitoring. A lot of machine vision-based structural dynamic measurement and structural state inspection methods have been proposed. Real-world applications are also carried out to measure the structural physical parameters such as the displacement, strain/stress, rotation, vibration, crack, and spalling. The purpose of this review article is devoted to presenting a summary of the basic theories and practical applications of the machine vision-based technology employed in structural monitoring as well as its systematic error sources and integration with other modern sensing techniques.

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“…However, if the relative speed between the vehicle-mounted camera and the objects is very high, the acquired images are often subject to global motion blur, which significantly reduces the quality of the images and produces inaccurate information. Therefore, it is imperative to investigate the mechanism of motion blur to restore blurred images for the purpose of reducing the blur effect [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Practical speed measurement for an intelligent vehicle based on double Radon transform in urban traffic scenarios

Jin

Yin

Tian

et al. 2020

Meas. Sci. Technol.

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An on-board vision system is recognized as a promising tool for vehicle early warning and monitoring. Timely accurate estimation of vehicle speed is critical in allowing the on-board vision system to calculate the vehicle location, plan a driving path, and apply emergency brakes to avoid accidents. However, the scene images captured by the vision system always suffer from global motion blur, which causes great difficulty in precisely estimating vehicle speed. While extensive efforts have been focused on blurred image restoration and real-time driving speed estimation in highway scenarios, very limited work has addressed urban scenarios in which the vehicle speed is often less than 40 km h−1. In order to bridge this research gap, this study proposes a new method for real-time vehicle speed estimation. Firstly, the spectrum characteristics of blurred images at low vehicle speeds were investigated to determine the relationship between the direction and spacing of the spectrogram and vehicle motion parameters. Then, the blur-direction and blur-scale of the vehicle motion were analyzed by double Radon transform to develop a speed estimation model. Experimental evaluation results demonstrate that the proposed method was able to estimate vehicle speed in urban scenarios without updating the hardware of existing on-board vision systems. The estimation error was below 7.13% and the calculation efficiency of a single frame was 30 ms, both of which meet the practical application requirements of intelligent vehicles.

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Restoration of TDI camera images with motion distortion and blur

Cited by 14 publications

References 19 publications

Study of the multi-excitation decoupling optimization method for the integrated structure of a high-resolution optical satellite

Study of the multi-excitation decoupling optimization method for the integrated structure of a high-resolution optical satellite

A Review of Machine Vision-Based Structural Health Monitoring: Methodologies and Applications

Practical speed measurement for an intelligent vehicle based on double Radon transform in urban traffic scenarios

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