Laser & Optoelectronics Progress, Volume. 58, Issue 8, 0811002(2021)

Ship Detection in SAR Image Based on Multiple Connected Features Pyramid Network

Zhijing Xu and Hai Huang*
Author Affiliations
  • College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
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    References(23)

    [1] Wackerman C C, Friedman K S, Pichel W G et al. Automatic detection of ships in RADARSAT-1 SAR imagery[J]. Canadian Journal of Remote Sensing, 27, 568-577(2001).

    [2] Novak L M, Hesse S R. On the performance of order-statistics CFAR detectors[C]. // Conference Record of the Twenty-Fifth Asilomar Conference on Signals, Systems & Computers, November 4-6, 1991, Pacific Grove, CA, USA., 835-840(1991).

    [3] Steenson B O. Detection performance of a mean-level threshold[J]. IEEE Transactions on Aerospace and Electronic Systems, AES-4, 529-534(1968).

    [6] Girshick R, Donahue J, Darrell T et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]. //2014 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2014, Columbus, OH, USA., 580-587(2014).

    [7] Girshick R. Fast R-CNN[C]. //2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile., 1440-1448(2015).

    [8] Ren S Q, He K M, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks[C]. //IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1137-1149(2015).

    [9] He K M, Gkioxari G, Dollár P et al. Mask R-CNN[C]. //2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice, Italy., 2980-2988(2017).

    [10] Redmon J, Divvala S, Girshick R et al. You only look once: unified, real-time object detection[C]. //2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA, 779-788(2016).

    [11] Redmon J, Farhadi A. YOLO9000: better, faster, stronger[C]. //2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA, 6517-6525(2017).

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

    [15] Li Z X, Zhou F Q. FSSD: feature fusion single shot multibox detector[J]. Computer Vision and Pattern Recognition, 36, 356-366(2018).

    [16] Lin T Y, Goyal P, Girshick R et al. Focal loss for dense object detection[C]. //2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice, Italy., 2999-3007(2017).

    [17] Wang Y Y, Wang C, Zhang H et al. A SAR dataset of ship detection for deep learning under complex backgrounds[J]. Remote Sensing, 11, 765(2019).

    [22] Lin T Y, Dollár P, Girshick R et al. Feature pyramid networks for object detection[C]. //2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 21-26, 2017, Honolulu, HI, USA., 936-944(2017).

    [23] Rezatofighi H, Tsoi N, Gwak J et al. Generalized intersection over union: a metric and a loss for bounding box regression[C]. //2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 15-20, 2019, Long Beach, CA, USA, 658-666(2019).

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    Zhijing Xu, Hai Huang. Ship Detection in SAR Image Based on Multiple Connected Features Pyramid Network[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0811002

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    Paper Information

    Category: Imaging Systems

    Received: Jul. 30, 2020

    Accepted: Sep. 9, 2020

    Published Online: Apr. 16, 2021

    The Author Email: Hai Huang (328123852@qq.com)

    DOI:10.3788/LOP202158.0811002

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