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Proceedings Paper

Research on the infrared point targets recognition method based on model
Author(s): Xiaoxiao Wu; Yanbing Dong; Chang Liu; Xiaoli Fan
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Paper Abstract

Infrared point source target recognition is the target recognition technology based on non-imaging time-domain signal characteristics of infrared detectors for small size or long distance targets. It has wide application prospects in many fields, such as industry and national defense. However, infrared point source targets recognition has become a recognized problem, because this kind of targets has less information and more interference factors. Therefore, the research on infrared point source target recognition has important theoretical and practical value. This paper proposed a mathematical construction method of infrared point source target signal .And through the modeling of sensor response and the verification of hardware-in-the-loop simulation experiment, a set of time-domain signal data for infrared point source target recognition method is generated. Then, by extracting several time–domain features, a nearest neighbor classification method based on feature weighting is proposed by combining the idea of mathematical model matching. At the same time, the influence of the uncertainty of the model itself on the recognition effect is considered. The result shows, using the sample data of point source target generated by simulation, the best recognition time of proposed methods is approximately 6-8 seconds, and the recognition accuracy rate is 64.6%-79.2%.

Paper Details

Date Published: 31 January 2020
PDF: 8 pages
Proc. SPIE 11427, Second Target Recognition and Artificial Intelligence Summit Forum, 114271Z (31 January 2020); doi: 10.1117/12.2552180
Show Author Affiliations
Xiaoxiao Wu, Science and Technology on Optical Radiation Lab. (China)
Yanbing Dong, Science and Technology on Optical Radiation Lab. (China)
Chang Liu, Science and Technology on Optical Radiation Lab. (China)
Xiaoli Fan, Science and Technology on Optical Radiation Lab. (China)


Published in SPIE Proceedings Vol. 11427:
Second Target Recognition and Artificial Intelligence Summit Forum
Tianran Wang; Tianyou Chai; Huitao Fan; Qifeng Yu, Editor(s)

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