Laser Journal, Volume. 45, Issue 4, 254(2024)

Research on infrared small and weak target detection in complex background based on full convolutional networks

GUAN Xiaodan, ZHENG Dongping, and XIAO Cheng
Author Affiliations
  • School of Electronic and Control Engineering, North China Institute of Aerospace Engineering, Langfang Hebei 065000, China
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    In order to solve the problems of high detection error rate and long detection time in the detection process of complex background infrared dim dim targets, a detection method of complex background infrared dim dim targets based on full convolutional network is proposed. This paper analyzes the research progress of complex background infrared dim small targets detection, finds out the defects of different methods, collects infrared images, extracts target detection features, and uses the full convolutional network to design a classifier for dim small targets detection, and realizes the detection of complex background infrared dim small targets. The experimental results show that the accuracy of this method is more than 97%, and it has high practical application value.

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    GUAN Xiaodan, ZHENG Dongping, XIAO Cheng. Research on infrared small and weak target detection in complex background based on full convolutional networks[J]. Laser Journal, 2024, 45(4): 254

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    Paper Information

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    Received: Jul. 21, 2023

    Accepted: Nov. 26, 2024

    Published Online: Nov. 26, 2024

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    DOI:10.14016/j.cnki.jgzz.2024.04.254

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