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Journal of Projectiles, Rockets, Missiles and Guidance >

2025 , Vol. 45 >Issue 3: 273 - 280

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2025.03.001

Adaptive Matching of Infrared Small Target Detection and Embedded Implementation

  • WANG Lei , 1 ,
  • SUN Liye 1 ,
  • XU Xinyang , 2 ,
  • FENG Kai 2
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  • 1 College of Mechanical Engineering, Shenyang Ligong University, Shenyang 110159, Liaoning, China
  • 2 National Key Laboratory of Electromagnetic Space Security,Tianjin 300308, China

Received date: 2024-10-08

  Online published: 2025-07-09

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Abstract

In order to improve the detection ability of infrared small targets in complex backgrounds, a small infrared target detection algorithm based on joint gradient discrimination and adaptive matching was proposed. The suspected target area is screened out for the first time in the image through multi-directional gradient features, and the adaptive model is generated by using the grayscale information in the region for re-judgment. Quantitative evaluation was established for gradient judgment and adaptive model matching, and confidence functions were introduced to evaluate different suspected target areas and screen out suspected targets. In order to enable the algorithm to be applied in dynamic platforms such as UAVs, an embedded system was built to realize the detection of small targets in real scenes by the detection system through infrared camera framing. By testing different public datasets and comparing with WSLCM (weighted strengthened local contrast measure) and TLLCM (tri-layer local contrast measure) algorithms in different complex scenarios, the proposed algorithm has good adaptability, and the recognition rate under different samples is more than 92%. The algorithm is processed by hardware acceleration through the customization of the IP core of the embedded platform and the co-design of software and hardware, and the real-time video frame rate is greater than 30 frame/s, which verifies its effectiveness.

Key words： infrared small target; target detection; gradient judgment; adaptive; model matching

Cite this article

WANG Lei , SUN Liye , XU Xinyang , FENG Kai . Adaptive Matching of Infrared Small Target Detection and Embedded Implementation[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2025 , 45(3) : 273 -280 . DOI: 10.15892/j.cnki.djzdxb.2025.03.001

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