Analysis of Effects of Line Vibration on Imaging Quality of Synthetic Aperture Ladar

Guanglie, 洪光烈 Hong; Liang, 郭亮 Guo

doi:10.3788/aos201232.0428001

Cited by 3 publications

(1 citation statement)

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“…In most cases, such errors result in intensity changes in the image. For Synthetic Aperture Lidar (SAL) imaging systems, the influence of line vibrations is mainly manifest as variations in the light intensity of the vertical route combined with vibration image [2], while angular vibrations bring false light intensity information [3]. Thermal microscope imaging systems always exhibit ghosting and blurred light intensity information in reconstruction images [4], and researchers invariably use algorithms and hardware shock absorption to reduce them.…”

Section: Introductionmentioning

confidence: 99%

Quantitative analysis of errors caused by vibration on polarization parametric indirect microscopic imaging system

et al. 2021

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Vibrations cause many problems such as displacement, distortion and defocusing in microscopic imaging systems. Because vibration errors are random in direction, amplitude and frequency, it is not known which aspect of the imaging quality will be affected by these problems and to what extent. Polarization Parametric Indirect Microscopic Imaging (PIMI) is a new technique that records polarization parameters in a conventional wide field reflection microscope using polarization modulation of the illumination beam and additional data analysis of the raw images. This indirect imaging technique allows the spatial resolution of the system to be improved. Here, the influence of vibration on the image sharpness and spatial resolution of a PIMI system is analyzed theoretically and experimentally. Degradation in the sharpness of PIMI images is quantified by means of the Modulation Transfer Function (MTF) and deterioration in the effective spatial resolution by the Fourier Ring Correlation (FRC). These results show that the quality of PIMI images can be improved significantly using vibration isolation.

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Section: Introductionmentioning

confidence: 99%

Quantitative analysis of errors caused by vibration on polarization parametric indirect microscopic imaging system

et al. 2021

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Phase errors compensation algorithm of inverse synthetic aperture ladar based on CS-Fmea

Wang

et al. 2017

2017 3rd IEEE International Conference on Computer and Communications (ICCC)

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Research Status and Prospect of the Key Technologies for Environment Perception of Intelligent Excavators

Cui,

Du,

Han

et al. 2024

Applied Sciences

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With the urgent need of the industry and the continuous development of artificial intelligence, research into intelligent excavators has achieved certain progress. However, intelligent excavators often face strong vibrations, dense dust, and complex objectives. These have brought severe challenges to environmental perception, and are important research difficulties that must be overcome in realizing the practical engineering applications of intelligent excavators. Many researchers have studied these problems in reducing vibration and dust noise for light detection and ranging (LiDAR) scanners, multi-sensor information fusion, and the segmentation and recognition of 3D scenes. This paper reviews the research status of these key technologies and discusses their development trends.

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Analysis of Effects of Line Vibration on Imaging Quality of Synthetic Aperture Ladar

Cited by 3 publications

References 0 publications

Quantitative analysis of errors caused by vibration on polarization parametric indirect microscopic imaging system

Quantitative analysis of errors caused by vibration on polarization parametric indirect microscopic imaging system

Phase errors compensation algorithm of inverse synthetic aperture ladar based on CS-Fmea

Research Status and Prospect of the Key Technologies for Environment Perception of Intelligent Excavators

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