Improving seeking precision by utilizing ghost imaging in a semi-active quadrant detection seeker

Wang, Siyuan; Li, Lijing; Chen, Wen; Sun, Mingjie

doi:10.1016/j.cja.2020.11.020

Cited by 15 publications

(6 citation statements)

References 23 publications

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“…GI can be extended for imaging applications at desired wavelengths where light source and single pixel detector exists. By imaging the illuminated area and recognize the target, GI can also be used with traditional Semi-active Laser (SAL) seekers based on Quadrant Detectors (QD) to determine the designation errors by employing structured illumination on the target [66]. Cat eye effect detection has earned much importance in military applications and free space communication.…”

Section: Target Recognition In Gi Without DLmentioning

confidence: 99%

Target recognition in Ghost Imaging from traditional to advance; a brief review

Abbas,

Mu,

MengYue

et al. 2024

Preprint

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Ghost imaging (GI) has earned novelty in image processing technique due to properties of non-locality, simple structure setups, high detection efficiency and imaging in scattering media. GI has stepped from basic to real time applications with advance methodologies. To get more accuracy in target recognition, optical arrangements with traditional methods showed some limitations which need resolution. Advance methods with deep learning in GI could be a better solution with fewer limitations. In this review, we summarize the target recognition methodologies based on traditional and advanced and compare them with challenges and future suggestions for more evolving this innovative research direction.<p></p>

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Section: Target Recognition In Gi Without DLmentioning

confidence: 99%

Target recognition in Ghost Imaging from traditional to advance; a brief review

Abbas,

Mu,

MengYue

et al. 2024

Preprint

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“…Flexible encoding combined with efficient reconstruction algorithms is the core feature of computational imaging. In the work of our research group and other researchers, the reconstruction of target images and the improvement of detection dimensions were achieved in a detection system based on four quadrant detectors by spatially adjusting the light field [4]- [6]. Next, we will further introduce the imaging principle.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous position prediction and intensity correction of quadrant detector-based detection system

Wang,

Yu,

2023

Fourteenth International Conference on Information Optics and Photonics (CIOP 2023)

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“…Reference literature [14] used the bucket detector to get the intensity rise and fall signal associated with object spatial information which applied the motion target ghost imaging to the biomedical field to achieve high throughput blood cell classification and counting. The literature [15] combined ghost imaging LIDAR with conventional four-quadrant detectors. It replaced the bucket detector with a four-quadrant detector to achieve real-time localization of the object and reconstructed target image by using the fourquadrant light intensity summation and the reference arm speckle.…”

Section: Introductionmentioning

confidence: 99%

Positioning and imaging methods for moving target ghost imaging LIDAR based on correlation intensity weighting

Wang

Chen

et al. 2023

Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022)

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Ghost imaging LIDAR is a new system of gaze imaging radar with high detection sensitivity, super-resolution and better anti-interference performance, but the relative motion between the radar system and the target will make the imaging degenerate. This paper proposes a single-target localization in the field of view by weighting the correlation intensity of rough target images. In a simple background environment, the absolute coordinates of the low-velocity small-size target in the field of view can be obtained. And the reference arm speckles will be compensated in the opposite direction by the translation according to the trajectory obtained by the positioning. An accurate image will be obtained by superimposing many rough images eventually. The proposed correlation intensity weighted positioning, tracking and imaging method has been verified by simulation to be able to locate and image targets in the field of view well.

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Improving seeking precision by utilizing ghost imaging in a semi-active quadrant detection seeker

Cited by 15 publications

References 23 publications

Target recognition in Ghost Imaging from traditional to advance; a brief review

Target recognition in Ghost Imaging from traditional to advance; a brief review

Simultaneous position prediction and intensity correction of quadrant detector-based detection system

Positioning and imaging methods for moving target ghost imaging LIDAR based on correlation intensity weighting

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