Anti-detection technology of cat eye target based on decentered field lens

Song, Dalin; Chang, Jun; Zhao, Yifei; Zhang, Zexia

doi:10.1088/1674-1056/27/9/094220

Cited by 4 publications

(2 citation statements)

References 14 publications

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“…In recent years, as an advanced imaging technology with distinguished signal-to-noise ratio (SNR) and transient detecting ability, active range-gated imaging has been widely studying and applied in space awareness and military field [1]- [5]. Thanks to the rapid progress of laser and optics technology and imaging detector, the integrated performances of range-gated imaging have made great improvements, especially, the time resolution of some subsystems or components have reached the nanosecond level [6]- [9]. However, in practical applications, many delays from each subsystem or component create a critical barrier to further enhancements of time resolution to transient imaging [10]- [13].…”

Section: Introductionmentioning

confidence: 99%

Optimization Design of Self-Triggered Complex Detector for Space Range-Gated Imaging System

Tang

Ibrahim

et al. 2020

IEEE Access

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To further enhance transient characteristics of space range-gated imaging system and widen its application potential in astronomical and military domains, a self-triggered structure and complex detecting mechanism are proposed in this paper. There being delays restriction among multiple subsystem of rangegated imaging system and the robust performance of multiple optical axis adjusted are firstly discussed and analyzed. Based on these, by researching the work principle and coupling process of microchannel plates in series in image intensifier, taking advantages of the coupling loss electrons to realize self-triggered is studied and its prototype device structure is further proposed too. Then, the space optical transfer theory of new selftriggered component is deduced and its waveguide process is stimulate in the software. Finally, the selftrigger performance and optical transfer effect of cutting edge invention is verified by vacuum test. And the test results basically match with theoretical model and simulation data. INDEX TERMS Micro channel Plate (MCP), Range-gated imaging, Self-triggered, Complex detector.

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Section: Introductionmentioning

confidence: 99%

Optimization Design of Self-Triggered Complex Detector for Space Range-Gated Imaging System

Tang

Ibrahim

et al. 2020

IEEE Access

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“…The optical system enhances the identification ability of the whole system by functioning in the full waveband. The off-axis three-mirror system gets rid of central obscuration by decenter and/or tilt [28] and stabilizes overall system resolution and energy. A beamsplitter separates light into the visible (400 nm-750 nm) and long-wave infrared (LWIR, 8 µm-12 µm) waveband.…”

Section: Introductionmentioning

confidence: 99%

Optical design of common-aperture multispectral and polarization optical imaging system with wide field of view*

Liu¹,

Chang²,

Feng³

et al. 2019

Chinese Phys. B

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Multispectral and polarization cameras that can simultaneously acquire the spatial, spectral, and polarization characteristics of an object have considerable potential applications in target detection, biomedical imaging, and remote sensing. In this work, we develop a common-aperture optical system that can capture multispectral and polarization information. An off-axis three-mirror optical system is mounted on the front end of the proposed system and used as a common-aperture telescope in the visible light (400 nm–750 nm) and long-wave infrared (LWIR, 8 μ m − 12 μ m ) waveband. The system can maintain a wide field of view (4.5°) and it can demonstrate an enhanced identification ability. The off-axis three-mirror system gets rid of central obscuration while further yielding stable system resolution and energy. Light that has passed through the front-end common-aperture reflection system is divided into the visible light and LWIR waveband by a beamsplitter. The two wavebands then converge on two detectors through two groups of lenses. Our simulation results indicate that the proposed system can obtain clear images in each waveband to meet the diverse imaging requirements.

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Object Detection Algorithm Based on YOLOv3 Model to Detect Occluded Targets

Zhang

2021

J. Phys.: Conf. Ser.

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Target detection has experienced a rapid development stage from the concept to the practical application, the core technology has been broken through, many difficult problems have been solved, and it has been widely used in various fields. However, the existing target detection models still have some technical problems such as incomplete detection and low accuracy. Therefore, this paper proposes a target detection algorithm based on V3 model to detect occluded targets. This paper makes an in-depth investigation and Research on the existing target detection model, analyzes the shortcomings of the current traditional target detection model through the test results, and the advantages of the network detection model based on YOLOv3 in target detection. Aiming at the main problems existing in the current detection technology, this paper puts forward the optimization and improvement scheme. By reconstructing the whole framework of multi-target tracking algorithm, optimizing the feature fusion algorithm, and improving the NMS algorithm, the scheme greatly improves the accuracy of detecting the occluded objects. The simulation results show that the improved scheme can improve the accuracy by 12.3% compared with the traditional scheme. The analysis shows that the target detection model based on YOLOv3 network can effectively improve the detection accuracy of the model.

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Anti-detection technology of cat eye target based on decentered field lens

Cited by 4 publications

References 14 publications

Optimization Design of Self-Triggered Complex Detector for Space Range-Gated Imaging System

Optimization Design of Self-Triggered Complex Detector for Space Range-Gated Imaging System

Optical design of common-aperture multispectral and polarization optical imaging system with wide field of view*

Object Detection Algorithm Based on YOLOv3 Model to Detect Occluded Targets

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