[1] Wu F, Zhou Z Q, Wang B, et al. Inshore ship detection based on convolutional neural network in optical satellite images[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11, 4005-4015(2018).

[2] Zhang Z Y, Jiao S H. Infrared ship target detection method based on multiple feature fusion[J]. Infrared and Laser Engineering, 44, 29-34(2015).

[3] [3] Sun C H, Shrivastava A, Singh S M, et al. Revisiting unreasonable effectiveness of data in deep learning era[C] IEEE International Conference on Computer Vision (ICCV), 2017: 843852.

[4] Li W P, Yang X G, Li C X, et al. An improved semi-supervised transfer learning method for infrared object detection neural network[J]. Infrared and Laser Engineering, 50, 20200511(2021).

[5] Shorten C, Khoshgoftaar T M. A survey on image data augmentation for deep learning[J]. Journal of Big Data, 6, 60-72(2019).

[6] [6] Yang X G, Chen S W, Xi J X. Heterogeneous Scene Matching Guidance Technology f Aircraft[M]. Beijing: Science Press, 2016. (in Chinese)

[7] [7] Deng J, Dong W, Socher R, et al. Image: A largescale hierarchical image database[C]IEEE Conference on Computer Vision & Pattern Recognition (CVPR), 2009: 563584.

[8] Lu F X, Chen X, Chen G L, et al. Dim and small target detection based on background adaptive multi-feature fusion[J]. Infrared and Laser Engineering, 48, 0326002(2019).

[9] [9] Huang S W, Lin C T, Chen S P, et al. AugGAN: Cross domain adaptation with GANbased data augmentation[C]European Conference on Computer Vision (ECCV), 2018: 731744.

[10] Shen D, Wu G, Suk H I. Deep learning in medical image analysis[J]. Annual Review of Biomedical Engineering, 19, 221-248(2017).

[11] Yu X M, Hong S, Yu J X, et al. Research on a ship target data augmentation method of visible remote sensing image[J]. Chinese Journal of Scientific Instrument, 41, 261-269(2020).

[12] [12] Cubuk E D, Zoph B, Mané D, et al. Auto augment: Learning augmentation strategies from data[C]Conference on Computer Vision Pattern Recognition (CVPR), 2019: 113123.

[13] Dawar N, Ostadabbas S, Kehtanavaz N. Data augmentation in deep learning-based fusion of depth and inertial sensing for action recognition[J]. IEEE Sensors Letters, 3, 1-4(2019).

[14] [14] Shaham T R, Dekel T, Michaeli T. SinGAN: Learning a generative model from a single natural image[C]International Conference on Computer Vision (ICCV), 2019: 45694579.

[15] Li S Y, Fu G Y, Cui Z M, et al. Data augmentation in SAR images based on multi-scale GAN[J]. Laser & Optoelectronics Progress, 57, 175-185(2020).

[16] [16] Li C, Wan M. Precomputed realtime texture synthesis with Markovian generative adversarial wks[C]European Conference on Computer Vision (ECCV), 2016. : 702716.

[17] Yang X G, Cao F, Huang X X, et al. Research on preparation method of reference image in scene matching simulation[J]. Journal of System Simulation, 22, 850-852(2010).

[18] [18] GulrajaniI I, Ahmed F, Arjovsky M, et al. Improved training of Wasserstein GAN[EBOL]. [20200127].https:arxiv.gabs1704.00028.