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Unmanned aerial vehicles need predetermined flight path to accurate positioning through online image matching recognition. The matching area should be dynamically selected in advance, based on the optimal matching performance, combined with the dynamic constraint and line of sight constraint. And the area should be combined into a route that meets the flight conditions of the aircraft. Around the above problem, this paper takes the matching performance representation thematic map as input, combines it with the real-time image range of the aircraft, and proposes a hierarchical network matching region search method based on evidence theory. Through the typical area test and analysis, this searching method can effectively provide the regional range of the aircraft with good matching performance, and at the same time meet the dynamic constraints of the aircraft. The effective frame number and accuracy of aircraft online matching recognition are effectively improved.

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A Hierarchical Adaptation Region Searching Method Based on DS Evidence Theory

  • 会议论文

  • 发表日期：

    2025年

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  • Wen Ju,
  • Jiaolong Liu,
  • Miaomiao Zhang,
  • Tian Zhenpo

摘要

Unmanned aerial vehicles need predetermined flight path to accurate positioning through online image matching recognition. The matching area should be dynamically selected in advance, based on the optimal matching performance, combined with the dynamic constraint and line of sight constraint. And the area should be combined into a route that meets the flight conditions of the aircraft. Around the above problem, this paper takes the matching performance representation thematic map as input, combines it with the real-time image range of the aircraft, and proposes a hierarchical network matching region search method based on evidence theory. Through the typical area test and analysis, this searching method can effectively provide the regional range of the aircraft with good matching performance, and at the same time meet the dynamic constraints of the aircraft. The effective frame number and accuracy of aircraft online matching recognition are effectively improved.