Journal of Infrared and Millimeter Waves, Volume. 41, Issue 3, 618(2022)

The research on lightweight SAR ship detection method based on regression model and attention

Li-Yuan LI1,3, Xiao-Yan LI2, Zhuo-Yue HU1, Xiao-Feng SU1、*, and Fan-Sheng CHEN1,2、*
Author Affiliations
  • 1Key Laboratory of Intelligent Infrared Perception,Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Shanghai 200083,China
  • 2Hangzhou Institute for Advanced Study,University of Chinese Academy of Sciences,Hangzhou 310024,China
  • 3University of Chinese Academy of Sciences,Beijing 100049,China
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    References(23)

    [5] Wang Jingpu, Lin Youquan, Guo Jie et al. SSS-YOLO: towards more accurate detection for small ships in SAR image[J]. Remote Sensing Letters, 12, 2-93-102(2021).

    [14] Tan Mingxing, Pang Ruoming, Quoc V. Le. EfficientDet: Scalable and Efficient Object Detection[C].

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    Li-Yuan LI, Xiao-Yan LI, Zhuo-Yue HU, Xiao-Feng SU, Fan-Sheng CHEN. The research on lightweight SAR ship detection method based on regression model and attention[J]. Journal of Infrared and Millimeter Waves, 2022, 41(3): 618

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    Paper Information

    Category: Research Articles

    Received: Sep. 26, 2021

    Accepted: --

    Published Online: Jul. 8, 2022

    The Author Email: Xiao-Feng SU (cfs@mail.sitp.ac.cn), Fan-Sheng CHEN (cfs@mail.sitp.ac.cn)

    DOI:10.11972/j.issn.1001-9014.2022.03.013

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