High-Precision Atmospheric Disturbance Detection Method for Moving Objects

Yue, 张月 Zhang; Xu, 王旭 Wang; Yun, 苏云 Su; Xuemin, 张学敏 Zhang; Zhiqiang, 邬志强 Wu; Hao, 赵号 Zhao; Hongyan, 邓红艳 Deng

doi:10.3788/aos202141.0228002

Cited by 3 publications

(2 citation statements)

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“…Increasing the number of rays emitted by each source point will expand the dynamic range and precision of image generation, but it will also increase computational complexity 8,9 .…”

Section: Scene Generationmentioning

confidence: 99%

A method for generating realistic background-oriented schlieren image based on physical raytracing

Li,

Zhou,

Ren

et al. 2024

Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition

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In response to the imperative requirement of the Background Oriented Schlieren (BOS) imaging system to produce exceptionally realistic target schlieren images, this paper proposes a method for generating realistic background schlieren images based on physical optical tracing. This method, grounded in real-world scene images, couples atmospheric turbulence field information with target information to establish a physics-based background schlieren imaging system ray tracing full-link simulation model. It simulates the propagation of light rays in complex refractive index fields of three-dimensional scenes and calculates the intersection points of light rays with objects based on physical principles. By using diffraction imaging principles, it accomplishes forward mapping of background images, thereby generating background schlieren images with higher realism and credibility. Experimental results demonstrate that this method offers high simulation flexibility and generates background schlieren images that are realistic and reliable, effectively showcasing schlieren characteristics. This method provides essential support for the pre-design and evaluation of background schlieren imaging system systems.

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“…Increasing the number of rays emitted by each source point will expand the dynamic range and precision of image generation, but it will also increase computational complexity 8,9 .…”

Section: Scene Generationmentioning

confidence: 99%

A method for generating realistic background-oriented schlieren image based on physical raytracing

Li,

Zhou,

Ren

et al. 2024

Sixth Conference on Frontiers in Optical Imaging and Technology: Imaging Detection and Target Recognition

View full text Add to dashboard Cite

show abstract

“…According to the law of refraction, light will be deflected when it propagates in an environment with a non-uniform gas refractive index. Background schlieren imaging technology visualizes this non-uniform deflection phenomenon [6,7]. For example, NASA used two training jets in Armstrong in 2019 to visualize the process of aircraft turbulence interaction, verifying the feasibility of this detection technology [8].…”

Section: Introductionmentioning

confidence: 99%

Optimization Method for Space-Based Target Detection System Based on Background-Oriented Schlieren

Li,

Zhou,

et al. 2024

Sensors

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Currently, the visual detection of a target’s shock flow field through background schlieren technology is a novel detection system. However, there are very few studies on the long-distance background schlieren imaging mechanism and its application in system design in the field of target detection. This paper proposes a design optimization method for space-based BOS detection system metrics. By establishing sensitivity evaluation models and image signal-to-noise ratio evaluation models for BOS detection systems, the influence of the different flight parameters and key parameters of BOS systems (detection spectral bands and spatial resolution) on target detection efficiency is explored. Furthermore, an optimization method based on the image signal-to-noise ratio of the BOS system and the overall metrics for specific scenarios are provided. The simulation results demonstrate that under satellite background images and speckle background images, the system metrics can detect and identify the schlieren of high-speed targets, with better applicability to disordered and complex real background images. This research contributes to advancing the development of high-speed target detection technology based on BOS.

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