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<p>The detection of radioactive hotspot using aerial technologies presents significant challenges due to the management of large data volumes and the need for accurate analysis. The pelican optimization algorithm (POA), a key component of these technologies, relies on extensive iterations and multiple pelicans to process large datasets, which demands substantial computational resources. To address these challenges, this study proposes an improved pelican optimization algorithm (IPOA), integrating an interval downsampling technique with the traditional POA. The interval downsampling method reduces data size while retaining essential global features, improving both computational efficiency and search accuracy. Experimental results demonstrate that the IPOA reduces the number of iterations by 75.5% compared to the POA, while improving the accuracy of radioactive source detection by 18.9%, using the same number of pelicans. These findings highlight the IPOA’s enhanced efficiency in managing large-scale data for radioactive hotspot detection.</p>

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Research on aerial radioactive hotspot detecting based on an improved pelican optimization algorithm

  • 期刊论文

  • 发表日期：

    2025年6月4日

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  • Jiahao He,
  • Chao Xiong,
  • Zhenghua Li,
  • Ruijie Mei,
  • Xuan Zhao,
  • Hexi Wu

摘要

The detection of radioactive hotspot using aerial technologies presents significant challenges due to the management of large data volumes and the need for accurate analysis. The pelican optimization algorithm (POA), a key component of these technologies, relies on extensive iterations and multiple pelicans to process large datasets, which demands substantial computational resources. To address these challenges, this study proposes an improved pelican optimization algorithm (IPOA), integrating an interval downsampling technique with the traditional POA. The interval downsampling method reduces data size while retaining essential global features, improving both computational efficiency and search accuracy. Experimental results demonstrate that the IPOA reduces the number of iterations by 75.5% compared to the POA, while improving the accuracy of radioactive source detection by 18.9%, using the same number of pelicans. These findings highlight the IPOA’s enhanced efficiency in managing large-scale data for radioactive hotspot detection.