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Journal of Projectiles, Rockets, Missiles and Guidance >

2025 , Vol. 45 >Issue 3: 287 - 294

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2025.03.003

A UAV Reconnaissance Target Localization Method Based on Image Matching

  • ZHOU Jiaxing , 1, 2 ,
  • CHEN Zhigao , 1, 2 ,
  • GAO Dengwei 3 ,
  • YU Zicheng 1, 2 ,
  • DENG Zhao 1, 2
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  • 1 School of Electrical Engineering and Automation, Xiamen University of Technology, Xiamen 361024, Fujian, China
  • 2 Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control, Xiamen 361024, Fujian, China
  • 3 Xi'an Mordern Control Technology Research Institute,Xi'an 710065,Shaanxi, China

Received date: 2024-12-06

  Online published: 2025-07-09

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Abstract

To ensure that the UAV (unmanned aerial vehicle) can accurately locate the reconnaissance target, image matching plays a critical role in the localization process, and its performance directly affects the localization accuracy of the targets. However, UAVs often encounter challenges when performing reconnaissance tasks in complex environments, especially when background information is similar, which hinders the effective elimination of a large number of outliers. This paper proposes an improved RANSAC (random sample consensus) algorithm. First, an initial dataset is constructed using triplet relationships. Based on these relationships, an improved strategy for selecting initial data is proposed, which reduces computational costs and improves matching accuracy through neighborhood-based geometric consistency and triangulation. Second, a data subset refinement strategy is introduced to further enhance the algorithm's sampling performance. Finally, the proposed algorithm is compared with other advanced algorithms on UAV reconnaissance image datasets featuring complex environments and similar background information. Experimental results demonstrate that the proposed algorithm achieves higher computational efficiency and correct matching rates, thus improving both the computational speed and localization accuracy, providing a novel method for UAV reconnaissance target localization.

Key words： UAV reconnaissance; target localization; image matching; triplet relationships

Cite this article

ZHOU Jiaxing , CHEN Zhigao , GAO Dengwei , YU Zicheng , DENG Zhao . A UAV Reconnaissance Target Localization Method Based on Image Matching[J]. Journal of Projectiles, Rockets, Missiles and Guidance, 2025 , 45(3) : 287 -294 . DOI: 10.15892/j.cnki.djzdxb.2025.03.003

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