• Laser & Optoelectronics Progress
  • Vol. 57, Issue 12, 121019 (2020)
Yunfei Zhao, Baohua Zhang*, Yanyue Zhang, Yu Gu, Yueming Wang, Jianjun Li, and Ying Zhao
Author Affiliations
  • School of Information Engineering, Inner Mongolia University of Science and Technology, Baotou, Inner Mongolia 014010, China
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    DOI: 10.3788/LOP57.121019 Cite this Article Set citation alerts
    Yunfei Zhao, Baohua Zhang, Yanyue Zhang, Yu Gu, Yueming Wang, Jianjun Li, Ying Zhao. Ship Detection Based on SAR Images Using Deep Feature Pyramid and Cascade Detector[J]. Laser & Optoelectronics Progress, 2020, 57(12): 121019 Copy Citation Text show less
    References

    [1] Wang W X, Fu Y T, Dong F et al. Infrared ship target detection method based on deep convolution neural network[J]. Acta Optica Sinica, 38, 0712006(2018).

    [2] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition. [C]∥2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 27-30, 2016, Las Vegas, NV, USA. New York: IEEE, 770-778(2016).

    [3] 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. New York: IEEE, 14632381(2014).

    [4] Sun X D, Wu P C. Hoi S C H. Face detection using deep learning: an improved Faster RCNN approach[J]. Neurocomputing, 299, 42-50(2018).

    [5] 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).

    [6] Du L, Liu B, Wang Y et al. Target detection method based on convolutional neural network for SAR image[J]. Journal of Electronics & Information Technology, 38, 3018-3025(2016).

    [7] Kang M, Leng X G, Lin Z et al. A modified Faster R-CNN based on CFAR algorithm for SAR ship detection. [C]∥2017 International Workshop on Remote Sensing with Intelligent Processing (RSIP), May 18-21, 2017, Shanghai, China. New York: IEEE, 16981074(2017).

    [8] Li J W, Qu C W, Peng S J et al. Ship detection in SAR images based on convolutional neural network[J]. Systems Engineering and Electronics, 40, 1953-1959(2018).

    [9] Hou B J, Yang M H, Sun X W. Real-time object detection for millimeter-wave images based on improved faster regions with convolutional neural networks[J]. Laser & Optoelectronics Progress, 56, 131009(2019).

    [10] Feng X Y, Mei W, Hu D S. Aerial target detection based on improved Faster R-CNN[J]. Acta Optica Sinica, 38, 0615004(2018).

    [11] Ren Z J, Lin S Z, Li D W et al. Mask R-CNN object detection method based on improved feature pyramid[J]. Laser & Optoelectronics Progress, 56, 041502(2019).

    [12] Chen Y C, Zhu X T, Zheng W S et al. Person re-identification by camera correlation aware feature augmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40, 392-408(2018).

    [13] Simonyan K. -04-10)[2019-10-13]. https:∥arxiv., org/abs/1409, 1556(2015).

    [14] Zhang S L, Xie L B. Salient detection based on cascaded convolutional neural network[J]. Laser & Optoelectronics Progress, 56, 071501(2019).

    Yunfei Zhao, Baohua Zhang, Yanyue Zhang, Yu Gu, Yueming Wang, Jianjun Li, Ying Zhao. Ship Detection Based on SAR Images Using Deep Feature Pyramid and Cascade Detector[J]. Laser & Optoelectronics Progress, 2020, 57(12): 121019
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