Cryogenic background infrared scene generation method based on a light-driven blackbody micro cavity array

Shi, Qingfeng; Gao, Yanze; Zhang, Xing; Li, Zhuo; Du, Jian; Shi, Rui

doi:10.1016/j.infrared.2021.103841

Cited by 7 publications

(2 citation statements)

References 24 publications

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“…For conventional SWIR imaging systems, the response speed is mainly limited by the progressive scanning and signal processing of ROIC, leading to a relatively low refresh rate ( RFR ) of usually lower than several hundred Hz. [ 39 ] In contrast, the operation of the organic/inorganic hybrid SWIR imaging device relies on the OUC behavior and does not need the ROIC. This could significantly improve the device response speed, making it promising for high‐speed imaging applications.…”

Section: Resultsmentioning

confidence: 99%

Organic–Inorganic Hybrid Shortwave Infrared Up‐conversion Imaging Devices with Ultra‐high Refresh Rate and Excellent Resolution

Zhang

Ding

et al. 2023

Adv Materials Technologies

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Shortwave infrared (SWIR) imaging devices have gained increasing importance in various fields, including security monitoring, biomedical imaging, advanced driver assistance, and semiconductor industry. However, complex technological processes of epitaxial growth and flip‐chip bonding hinder the development of high‐performance and low‐cost SWIR imaging devices. Herein, a novel organic–inorganic hybrid optical up‐conversion (OUC) imaging device by stacking a phosphorescent organic light‐emitting diode (OLED) with a NiSix/Si Schottky barrier diode (SBD) is developed. The pyramidal microstructures of silicon are utilized to greatly enhance light absorption of the NiSix/Si SBD, enabling the device to respond to a broadband SWIR light of 1064, 1310, and 1550 nm that are beyond the bandgap limit of silicon. Significantly, the device demonstrates excellent up‐conversion imaging behaviors at SWIR light with an ultra‐fast refresh rate of over 3000 Hz and a high‐resolution imaging capability of 508 ppi. This work paves the way toward the fabrication of high‐performance, low‐cost silicon‐based OUC devices for SWIR imaging applications.

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Section: Resultsmentioning

confidence: 99%

Organic–Inorganic Hybrid Shortwave Infrared Up‐conversion Imaging Devices with Ultra‐high Refresh Rate and Excellent Resolution

Zhang

Ding

et al. 2023

Adv Materials Technologies

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“…Methods based on deep learning, typically using a generative adversarial network (GAN), learn the style of the infrared image from a large number of real infrared images and then transfer visible light images to infrared images (Alec et al, 2016;Junyan et al, 2017;Chenyang, 2019;Yi, 2020). These methods do not require complex physical modeling processes and are fast, but lack authenticity and reliability (Shi et al, 2021;Bhalla et al, 2022). More importantly, the method is based on deep learning and cannot add infrared targets as needed, nor can it edit the flight trajectory and attitude, which is exactly what the infrared target dataset needs most.…”

Section: Introductionmentioning

confidence: 99%

An Infrared Sequence Image Generating Method for Target Detection and Tracking

Zhi-jian

Bingwei

Shujin³

2022

Front. Comput. Neurosci.

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Training infrared target detection and tracking models based on deep learning requires a large number of infrared sequence images. The cost of acquisition real infrared target sequence images is high, while conventional simulation methods lack authenticity. This paper proposes a novel infrared data simulation method that combines real infrared images and simulated 3D infrared targets. Firstly, it stitches real infrared images into a panoramic image which is used as background. Then, the infrared characteristics of 3D aircraft are simulated on the tail nozzle, skin, and tail flame, which are used as targets. Finally, the background and targets are fused based on Unity3D, where the aircraft trajectory and attitude can be edited freely to generate rich multi-target infrared data. The experimental results show that the simulated image is not only visually similar to the real infrared image but also consistent with the real infrared image in terms of the performance of target detection algorithms. The method can provide training and testing samples for deep learning models for infrared target detection and tracking.

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Light-driven mechanism of a photothermal conversion infrared image generation chip

Gao

Shi

et al. 2022

Infrared Physics & Technology

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Cryogenic background infrared scene generation method based on a light-driven blackbody micro cavity array

Cited by 7 publications

References 24 publications

Organic–Inorganic Hybrid Shortwave Infrared Up‐conversion Imaging Devices with Ultra‐high Refresh Rate and Excellent Resolution

Organic–Inorganic Hybrid Shortwave Infrared Up‐conversion Imaging Devices with Ultra‐high Refresh Rate and Excellent Resolution

An Infrared Sequence Image Generating Method for Target Detection and Tracking

Light-driven mechanism of a photothermal conversion infrared image generation chip

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