Flow visualization of aircraft in flight by means of Background Oriented Schlieren using Celestial Objects

Hill, Michael A.; Haering, Edward A.; Cliatt, Larry J.

doi:10.2514/6.2017-3553

Cited by 6 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Venkatakrishnan 12 demonstrated the construction of a density field using BOS for a cone-cylinder flow at Mach 2.0. Additionally, work conducted by NASA has led to the use of natural backgrounds to capture schlieren images of different aircraft by using the sun/sky as the background [20][21][22] .…”

Section: Background Oriented Schlieren (Bos)mentioning

confidence: 99%

Density Estimation from Schlieren Images through Machine Learning

Ubald¹,

Seshadri²,

Duncan³

2022

Preprint

View full text Add to dashboard Cite

This study proposes a radically alternate approach for extracting quantitative information from schlieren images. The method uses a scaled, derivative enhanced Gaussian process model to obtain true density estimates from two corresponding schlieren images with the knife-edge at horizontal and vertical orientations. We illustrate our approach on schlieren images taken from a wind tunnel sting model, and a supersonic aircraft in flight.

show abstract

Section: Background Oriented Schlieren (Bos)mentioning

confidence: 99%

Density Estimation from Schlieren Images through Machine Learning

Ubald¹,

Seshadri²,

Duncan³

2022

Preprint

View full text Add to dashboard Cite

show abstract

“…For example, under normal circumstances, in order to achieve target detection, it is often necessary to have a resolution that can reach the meter level or even the sub-meter level. As for the background schlieren technology, the detection 2 of 16 scale is dozens of times larger than the target body, so the resolution can even be reduced to tens of meters, which in turn allows the system to further reduce the aperture [9,10]. Therefore, this technology has huge advantages in reducing system volume, weight, and complexity, while maintaining detection performance.…”

Section: Introductionmentioning

confidence: 99%

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

Li,

Zhou,

et al. 2024

Sensors

View full text Add to dashboard Cite

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.

show abstract