Applied and Computational Engineering

- The Open Access Proceedings Series for Conferences


Proceedings of the 4th International Conference on Signal Processing and Machine Learning

Series Vol. 47 , 15 March 2024


Open Access | Article

Research on the electronic control system for multispectral infrared detectors

Jing Yu 1 , Nan Liu 2 , Peng Ding 3 , Zhanqiang Ru 4 , Suzhen Cheng 5 , Zhengguang Wang 6 , Jingwu Gong 7 , Zhizhen Yin 8 , Fei Wu 9 , Helun Song * 10
1 University of Science and Technology of China
2 Chinese Academy of Sciences
3 Chinese Academy of Sciences
4 Chinese Academy of Sciences
5 University of Science and Technology of China
6 University of Science and Technology of China
7 Chinese Academy of Sciences
8 Suzhou Institute of Nanotechnology and Nanobiology
9 Suzhou Institute of Nanotechnology and Nanobiology
10 Suzhou Institute of Nanotechnology and Nanobiology

* Author to whom correspondence should be addressed.

Applied and Computational Engineering, Vol. 47, 306-313
Published 15 March 2024. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Jing Yu, Nan Liu, Peng Ding, Zhanqiang Ru, Suzhen Cheng, Zhengguang Wang, Jingwu Gong, Zhizhen Yin, Fei Wu, Helun Song. Research on the electronic control system for multispectral infrared detectors. ACE (2024) Vol. 47: 306-313. DOI: 10.54254/2755-2721/47/20241697.

Abstract

In order to acquire and fully exploit multispectral information of scenes, and to establish a foundation for the research of multispectral image algorithms, a laboratory has developed a multispectral infrared detector capable of detecting short-wave infrared, mid-wave infrared, and long-wave infrared in three bands. Additionally, a preliminary electronic control system has been designed. The system employs a field-programmable gate array (FPGA) to accomplish the timing control, data acquisition, preprocessing of individual channel images, and multispectral image fusion of the detector. The preprocessing involves black level correction, blind element correction, non-uniformity correction, and histogram equalization of the raw images. For trispectral fusion, color enhancement is applied to linearly combined images in the YUV color space using a color transfer method. The system utilizes a pipeline design to ensure algorithm efficiency. In simulation, the electronic control system for the multispectral infrared detector obtains trispectral information of the scenes, and through image preprocessing and fusion, enhances the understanding of scene information.

Keywords

FPGA, Multispectral Infrared Detection, Trispectral Image Fusion

References

1. Yuan, Z. Q. (2017). Key Technologies Research of Dual-Band Infrared Imaging System [Doctoral dissertation, University of Electronic Science and Technology of China].

2. Peng, Q. Q., & Du, X. Y. (2023). Design of a Multi-Spectral Infrared Imaging Optical System. Laser and Infrared, 53(06), 939-944.

3. Caulfield J, Curzan J. Small pixel infrared sensor technology[C]//Infrared Technology and Applications XLIII, 2017, 10177: 1017725.

4. Nesher O, Elkind S, Adin A, et al. Digital cooled InSb detector for IR detection[J].Proceedings of SPIE - The International Society for Optical Engineering, 2003, 5074:120-129.

5. Matthew G Brown, Justin Baker, Curtis Colonero, et al. Digital-pixel focal plane array development[C]//Proc. of SPIE on Solid-State Circuits Conference, 2010, 7608: 76082H.

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 4th International Conference on Signal Processing and Machine Learning
ISBN (Print)
978-1-83558-335-7
ISBN (Online)
978-1-83558-336-4
Published Date
15 March 2024
Series
Applied and Computational Engineering
ISSN (Print)
2755-2721
ISSN (Online)
2755-273X
DOI
10.54254/2755-2721/47/20241697
Copyright
15 March 2024
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated