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LW-IRSTNet: Lightweight Infrared Small Target Segmentation Network
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  • Renke Kou ,
  • Chunping Wang ,
  • Fuyuan Huang ,
  • Ying Yu ,
  • Zhenming Peng ,
  • Qiang Fu ,
  • Mingbo Yang
Renke Kou
Army Engineering University Shijiazhuang Campus, Department of Electronic and Optical Engineering

Corresponding Author:[email protected]

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Chunping Wang
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Fuyuan Huang
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Zhenming Peng
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Mingbo Yang
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Abstract

In the complex background, rapid and accurate detection of infrared small targets is the key factor for the effectiveness of the infrared detection system. The experimental results show that the segmentation accuracy of LW-IRSTNet is not only equal to or slightly more than the most advanced baseline, but also greatly reduces the computational complexity and params, realizing real-time infrared small target detection.
2023Published in IEEE Transactions on Geoscience and Remote Sensing volume 61 on pages 1-13. 10.1109/TGRS.2023.3314586