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Laser & Optoelectronics Progress, Volume. 62, Issue 6, 0615009(2025)

Lightweight Synthetic Aperture Radar Ship Detection Based on Contour Enhancement

Yang Wu1、*, Chunyuan Wang2, Xiaolong Li3, and Lianlei Lin4
Author Affiliations
  • 1Shanghai Institute of Satellite Engineering, Shanghai 201109, China
  • 2School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai 201620, China
  • 3Shanghai Satellite Equipment Research Institute, Shanghai 200240, China
  • 4School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, Heilongjiang , China
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    [1] Wu Y Q, Xu Q, Ma J Z et al. SAR change detection algorithm based on space-frequency dual-domain filtering[J]. Acta Optica Sinica, 43, 1228009(2023).

    [2] Li J W, Xu C A, Su H et al. Deep learning for SAR ship detection: past, present and future[J]. Remote Sensing, 14, 2712(2022).

    [3] Shan H L, Liu W X, Wang X T et al. Synthetic aperture radar ship detection method based on highly efficient aggregated feature enhancement network[J]. Acta Optica Sinica, 44, 1228002(2024).

    [4] Girshick R, Donahue J, Darrell T et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C], 580-587(2014).

    [5] He K M, Zhang X Y, Ren S Q et al. Spatial pyramid pooling in deep convolutional networks for visual recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37, 1904-1916(2015).

    [6] Ren S Q, He K M, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1137-1149(2017).

    [7] He K M, Gkioxari G, Dollár P et al. Mask R-CNN[C], 2980-2988(2017).

    [8] Lin T Y, Goyal P, Girshick R et al. Focal loss for dense object detection[C], 2999-3007(2017).

    [9] Liu W, Anguelov D, Erhan D et al. SSD: single shot MultiBox detector[M]. Computer vision-ECCV 2016, 9905, 21-37(2016).

    [10] Bochkovskiy A, Wang C Y, Liao H Y M. YOLOv4: optimal speed and accuracy of object detection[EB/OL]. https://arxiv.org/abs/2004.10934v1

    [11] Ge Z, Liu S T, Wang F et al. YOLOX: exceeding YOLO series in 2021[EB/OL]. https://arxiv.org/abs/2107.08430v2

    [12] Hu J, Shen L, Sun G. Squeeze-and-excitation networks[C], 7132-7141(2018).

    [13] Woo S, Park J, Lee J Y et al. CBAM: convolutional block attention module[M]. Computer vision-ECCV 2018, 11211, 3-19(2018).

    [14] Sun Y, Xin Z H, Huang P H et al. SAR image sparse denoising based on blind estimation and bilateral filtering[J]. Laser & Optoelectronics Progress, 60, 1610001(2023).

    [15] Chen J R, Kao S H, He H et al. Run, don’t walk: chasing higher FLOPS for faster neural networks[C], 12021-12031(2023).

    [16] Wang X L, Girshick R, Gupta A et al. Non-local neural networks[C], 7794-7803(2018).

    [17] Hu J, Shen L, Sun G. Squeeze-and-excitation networks[C], 7132-7141(2018).

    [18] Zhang T W, Zhang X L, Li J W et al. SAR ship detection dataset (SSDD): official release and comprehensive data analysis[J]. Remote Sensing, 13, 3690(2021).

    [19] Wei S J, Zeng X F, Qu Q Z et al. HRSID: a high-resolution SAR images dataset for ship detection and instance segmentation[J]. IEEE Access, 8, 120234-120254(2020).

    [20] Zhang T W, Zhang X L, Liu C et al. Balance learning for ship detection from synthetic aperture radar remote sensing imagery[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 182, 190-207(2021).

    [21] Yu C S, Shin Y. SAR ship detection based on improved YOLOv5 and BiFPN[J]. ICT Express, 10, 28-33(2024).

    [22] Yao C M, Xie P F, Zhang L et al. ATSD: anchor-free two-stage ship detection based on feature enhancement in SAR images[J]. Remote Sensing, 14, 6058(2022).

    [23] Bai L, Yao C, Ye Z et al. A novel anchor-free detector using global context-guide feature balance pyramid and united attention for SAR ship detection[J]. IEEE Geoscience and Remote Sensing Letters, 20, 4003005(2023).

    [24] Feng Y, Chen J, Huang Z X et al. A lightweight position-enhanced anchor-free algorithm for SAR ship detection[J]. Remote Sensing, 14, 1908(2022).

    [25] Tang G, Zhao H R, Claramunt C et al. PPA-net: pyramid pooling attention network for multi-scale ship detection in SAR images[J]. Remote Sensing, 15, 2855(2023).

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    Yang Wu, Chunyuan Wang, Xiaolong Li, Lianlei Lin. Lightweight Synthetic Aperture Radar Ship Detection Based on Contour Enhancement[J]. Laser & Optoelectronics Progress, 2025, 62(6): 0615009

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    Paper Information

    Category: Machine Vision

    Received: Jul. 3, 2024

    Accepted: Sep. 3, 2024

    Published Online: Mar. 17, 2025

    The Author Email:

    DOI:10.3788/LOP241625

    CSTR:32186.14.LOP241625

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology