• Acta Photonica Sinica
  • Vol. 51, Issue 4, 0410003 (2022)
Haicheng QU and Lei SHEN*
Author Affiliations
  • College of Software,Liaoning Technical University,Huludao,Liaoning 125105,China
  • show less
    DOI: 10.3788/gzxb20225104.0410003 Cite this Article
    Haicheng QU, Lei SHEN. SAR Image Denoising and Semantic Enhancement for Object Detection[J]. Acta Photonica Sinica, 2022, 51(4): 0410003 Copy Citation Text show less
    References

    [1] T ZHANG, X ZHANG, J SHI et al. Depthwise separable convolution neural network for high-speed SAR ship detection. Remote Sensing, 11, 2483(2019).

    [2] Lei ZHU, Jingman LI, Yang PAN et al. SAR image despeckling algorithm using non-local means with adaptive filtering strength. Journal of Electronics & Information Technology, 43, 1258-1266(2021).

    [3] B HOU, X CHEN, L JIAO. Multilayer CFAR detection of ship targets in very high resolution SAR images. IEEE Geoscience and Remote Sensing Letters, 12, 811-815(2014).

    [4] J AI, X YANG, J SONG et al. An adaptively truncated clutter-statistics-based two-parameter CFAR detector in SAR imagery. IEEE Journal of Oceanic Engineering, 43, 267-279(2017).

    [5] T LI, Z LIU, R XIE et al. An improved superpixel-level CFAR detection method for ship targets in high-resolution SAR images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11, 184-194(2017).

    [6] J LI, C QU, J SHAO. Ship detection in SAR images based on an improved faster R-CNN, 1-6(2017).

    [7] Z HUANG, C O DUMITRU, Z PAN et al. Classification of large-scale high-resolution sar images with deep transfer learning. IEEE Geoscience and Remote Sensing Letters, 18, 107-111(2020).

    [8] Y WANG, C WANG, H ZHANG et al. Automatic ship detection based on RetinaNet using multi-resolution Gaofen-3 imagery. Remote Sensing, 11, 531(2019).

    [9] H LAW, J DENG. Cornernet: detecting objects as paired keypoints, 734-750(2018).

    [10] K DUAN, S BAI, L XIE et al. Centernet: keypoint triplets for object detection, 6569-6578(2019).

    [11] A VASWANI, N SHAZEER, N PARMAR et al. Attention is all you need, 5998-6008(2017).

    [12] Wenxu SHI, Jinhong JIANG, Shengli BAO. Ship detection method in remote sensing image based on feature fusion. Acta Photonica Sinica, 49, 0710004(2020).

    [13] Kun QIAN, Huixin ZHOU, Hanlin QIN et al. Infrared dim-small target tracking based on guide filter and spatio-temporal context learning. Acta Photonica Sinica, 44, 0910003(2015).

    [14] W WANG, E XIE, X LI et al. Pyramid vision transformer: a versatile backbone for dense prediction without convolutions. arXiv preprint, arXiv(2021).

    [15] Z TIAN, C SHEN, H CHEN et al. Fcos: fully convolutional one-stage object detection, 9627-9636(2019).

    [16] T Y LIN, P GOYAL, R GIRSHICK et al. Focal loss for dense object detection, 2980-2988(2017).

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

    [18] S WEI, X ZENG, Q QU et al. HRSID: a high-resolution SAR images dataset for ship detection and instance segmentation. IEEE Access, 8, 120234-120254(2020).

    [19] Bin DING, Xue XIA, Xuefeng LIANG et al. Sea clutter data augmentation method based on deep generative adversarial network. Journal of Electronics & Information Technology, 43, 1985-1991(2021).

    [20] D THECKEDATH, R R SEDAMKAR. Detecting affect states using VGG16, ResNet50 and SE-ResNet50 networks. SN Computer Science, 1, 1-7(2020).

    [21] Z XU, K SUN, J MAO. Research on ResNet101 network chemical reagent label image classification based on transfer learning, 354-358(2020).

    [22] M AHMAD, M ABDULLAH, D HAN. Small object detection in aerial imagery using RetinaNet with anchor optimization, 1-3(2020).

    [23] S W KIM, H K KOOK, J Y SUN et al. Parallel feature pyramid network for object detection, 234-250(2018).

    [24] Yanni WANG, Xuesong SUN, Lixian YU. Lightweight synthetic aperture radar ship detection algorithm with enhanced receptive field. Acta Photonica Sinica, 51, 0210008(2022).

    [25] S CHEN, J ZHANG, R ZHAN. R2FA-Det: delving into high-quality rotatable boxes for ship detection in SAR images. Remote Sensing, 12, 2031(2020).

    [26] J FU, X SUN, Z WANG et al. An anchor-free method based on feature balancing and refinement network for multiscale ship detection in SAR images. IEEE Transactions on Geoscience and Remote Sensing, 59, 1331-1344(2020).

    Haicheng QU, Lei SHEN. SAR Image Denoising and Semantic Enhancement for Object Detection[J]. Acta Photonica Sinica, 2022, 51(4): 0410003
    Download Citation