• Electronics Optics & Control
  • Vol. 25, Issue 6, 83 (2018)
ZHANG Zuo-xing1、2, YANG Cheng-liang1、2, ZHU Rui-fei1、3, GAO Fang3, YU Ye1、2, and ZHONG Xing1、3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2018.06.018 Cite this Article
    ZHANG Zuo-xing, YANG Cheng-liang, ZHU Rui-fei, GAO Fang, YU Ye, ZHONG Xing. An Algorithm for Recognition of Airport in Remote Sensing Image Based on DCNN Model[J]. Electronics Optics & Control, 2018, 25(6): 83 Copy Citation Text show less
    References

    [1] ITTI LKOCH CNIEBUR E.A model of saliency-based visual attention for rapid scene analysis[J].IEEE Tran-sactions on Pattern Analysis & Machine Intelligence1998 20(11):1254-1259.

    [2] SCHLKOPF BPLATT JHOFMANN T.Graph-based visual saliency[J].Advances in Neural Information Processing Systems200719:545-552.

    [3] HOU XZHANG L.Saliency detection:a spectral residual approach[C]//IEEE Conference on Computer Vision and Pattern Recognition2007:1-8.

    [4] ACHANTA RHEMAMI SESTRADA Fet al.Frequency-tuned salient region detection[C]//IEEE Conference on Computer Vision and Pattern Recognition2009:1597-1604.

    [5] GUO C LMA QZHANG L M.Spatio-temporal saliency detection using phase spectrum of quaternion Fourier transform[C]//IEEE Conference on Computer Vision and Pattern Recognition2008:1-8.

    [7] WANG XLV QWANG Bet al.Airport detection in remote sensing images: a method based on saliency map.[J].Cognitive Neurodynamics20137(2):143-54.

    [10] THEODORIDIS S.Chapter 18-neural networks and deep learning[M]//Machine Learning.Amsterdam:Elsevier Ltd2015:875-936.

    [11] SZEGEDY CVANHOUCKE VIOFFE Set al.Rethinking the inception architecture for computer vision[C]//IEEE Conference on Computer Vision and Pattern Recognition(CVPR)2016.doi:10.1109/CVPR.2016.308.

    [12] SZEGEDY CIOFFE SVANHOUCKE Vet al.Inception-v4inception-ResNet and the impact of residual connections on learning[EB/OL].[2017-05-07].https://arxiv.org/pdf/1409.1556.pdf.

    [13] SIMONYAN KZISSERMAN A.Very deep convolutional networks for large-scale image recognition[EB/OL].[2017-05-18].https://arxiv.org/pdf/1602.07261.pdf.

    [14] HE KZHANG X YREN S Qet al.Deep residual learning for image recognition[C]//IEEE Conference on Computer Vision and Pattern Recognition2015:770-778.

    [15] KRIZHEVSKY ASUTSKEVER IHINTON G E.ImageNet classification with deep convolutional neural networks[C]//International Conference on Neural Information Processing Systems2012:1097-1105.

    [16] CLEVERT D AUNTERTHINER THOCHREITER S.Fast and accurate deep network learning by Exponential Linear Units (ELUs)[C]//ICLR2016:1-14.

    [17] HE K MZHANG X YREN S Qet al.Delving deep into rectifiers:surpassing human-level performance on imageNet classification[J].IEEE International Conference on Computer Vision(ICCV)2015:1026-1034.

    [18] XU BWANG N YCHEN T Qet al.Empirical evaluation of rectified activations in convolutional network[EB/OL].[2017-06-16].https://arxiv.org/pdf/1505.00853.pdf.

    [19] HINTON G ESRIVASTAVA NKRIZHEVSKY Aet al.Improving neural networks by preventing co-adaptation of feature detectors[J].Computer Science20123(4):212-223.

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    ZHANG Zuo-xing, YANG Cheng-liang, ZHU Rui-fei, GAO Fang, YU Ye, ZHONG Xing. An Algorithm for Recognition of Airport in Remote Sensing Image Based on DCNN Model[J]. Electronics Optics & Control, 2018, 25(6): 83
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