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Spatial refinement based method for small-sized target detection

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Abstract

To detect small-sized targets in long-distance images, we propose a spatial refinement-based method by fusing features of small-sized targets. Specifically, we add a spatial refinement module (SRM) into the structure of FPN to detect small-sized targets. The redundancy, blur, and inaccuracy that appear in fusion improve the accuracy of the detection model. The simulation results show that the combination of SRM and FPN outperforms the other benchmark detection methods on small-sized targets.

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Authors and Affiliations

  1. Department of Space, Southwest China Institute of Electronic Technology, Yingkang West Ave, Chengdu, 610036, Sichuan, China

    Wei Yu

  2. Research Institute, PLA Academy of Military Science, Haidian, Bei**g, 10091, Bei**g, China

    Yang Guo

  3. Department of Information and Software Engineering, University of Electronic Science and Technology of China, **yuan Ave, Chengdu, 611731, Sichuan, China

    Di Lin & He Chang

Authors
  1. Wei Yu
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  2. Yang Guo
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  3. Di Lin
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  4. He Chang
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Correspondence to Yang Guo.

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Yu, W., Guo, Y., Lin, D. et al. Spatial refinement based method for small-sized target detection. Wireless Netw (2023). https://doi.org/10.1007/s11276-023-03403-8

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