[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.

[6] 王强,胡维平,陆志敏,等.HOUGH变换实时检测算法研究［J］.计算机工程与设计200122(3):76-80.

[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.

[8] 艾淑芳,闫钧华,李大雷,等.遥感图像中的机场跑道检测算法［J］.电光与控制,201724(2):43-46.

[9] 朱丹,王斌,张立明.基于直线邻近平行性和GBVS显著性的遥感图像机场目标检测［J］.红外与毫米波学报,2015,34(3):375-384.

[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.

[20] 李航.统计学习方法［M］.北京：清华大学出版社,2012:13-15.