[1] Yu C X, Xu J, Xu J et al. A new method of extracting coastlines from LiDAR point clouds[J]. Bulletin of Surveying and Mapping, 66-68(2015).

[2] Ma X F, Zhao D Z, Xing X G et al. Means of withdrawing coastline by remote sensing[J]. Marine Environmental Science, 26, 185-189(2007).

[3] Shao Y, Zhang F L, Tian W et al. Progresses on application of microwave remote sensing in ocean environment[J]. Journal of Remote Sensing, 13, 154-159(2009).

[4] Yang K. Research on coastline extraction of Lianyungang based on improved UNet[J]. Computer Engineering & Software, 41, 208-212(2020).

[5] Wang D L, Yang Y. Kernel estimation for optimal threshold SAR image coastline extraction[J]. Journal of Radar Science and Technology, 17, 310-318(2019).

[6] Li Z M, Luo Y Z, Man W et al. Extraction and analysis of coastline of Fujian province based on RS and GIS[J]. Journal of Applied Oceanography, 36, 125-134(2017).

[7] Jiang K D, Yin Y, Fan K G et al. Study on Nantong coastlines based on Canny operator[J]. Bulletin of Surveying and Mapping, 83-88(2019).

[8] Alonso M T, Lopez-Martinez C, Mallorqui J J et al. Edge enhancement algorithm based on the wavelet transform for automatic edge detection in SAR images[J]. IEEE Transactions on Geoscience and Remote Sensing, 49, 222-235(2011).

[9] Zhan Y T, Zhu L, Sun Y H et al. Automatic extraction of coastline via spectral angle-distance similarity growth model[J]. Journal of Remote Sensing, 21, 458-469(2017).

[10] Xie M H, Zhang Y F, Fu K. Algorithm of detection coastline from SAR images based on seeds growing[J]. Journal of the Graduate School of the Chinese Academy of Sciences, 24, 93-98(2007).

[11] Liang L, Liu Q S, Liu G H et al. Review of coastline extraction methods based on remote sensing images[J]. Journal of Geo-Information Science, 20, 1745-1755(2018).

[12] Zhao X M, Wu J, Chen R X. RMFS-CNN: new deep learning framework for remote sensing image classification[J]. Journal of Image and Graphics, 26, 297-304(2021).

[13] Chen L F, Cui X L, Li Z H et al. A new deep learning algorithm for SAR scene classification based on spatial statistical modeling and features re-calibration[J]. Sensors, 19, 2479(2019).

[14] Chen L F, Tan S Y, Pan Z H et al. A new framework for automatic airports extraction from SAR images using multi-level dual attention mechanism[J]. Remote Sensing, 12, 560-584(2020).

[15] Hu W, Huang Y Y, Wei L et al. Deep convolutional neural networks for hyperspectral image classification[J]. Journal of Sensors, 2015, 258619(2015).

[16] Xia G S, Bai X, Ding J et al. DOTA: a large-scale dataset for object detection in aerial images[C], 3974-3983(2018).

[17] 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).

[18] Shelhamer E, Long J, Darrell T. Fully convolutional networks for semantic segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 640-651(2017).

[19] Chen L C, Papandreou G, Kokkinos I et al. Semantic image segmentation with deep convolutional nets and fully connected CRFs[EB/OL]. https://arxiv.org/abs/1412.7062v2

[20] Wang Z H, Zhong Y F, He W W et al. Island shoreline segmentation in remote sensing image based on improved DeepLab network[J]. Journal of Image and Graphics, 25, 768-778(2020).

[21] Zhao H S, Shi J P, Qi X J et al. Pyramid scene parsing network[C], 6230-6239(2017).

[22] Li R R, Liu W J, Yang L et al. DeepUNet: a deep fully convolutional network for pixel-level sea-land segmentation[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11, 3954-3962(2018).

[23] Ronneberger O, Fischer P, Brox T. U-net: convolutional networks for biomedical image segmentation[M]. Navab N, Hornegger J, Wells W M, et al. Medical image computing and computer-assisted intervention-MICCAI 2015, 9351, 234-241(2015).

[24] Shamsolmoali P, Zareapoor M, Wang R L et al. A novel deep structure U-net for sea-land segmentation in remote sensing images[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12, 3219-3232(2019).

[25] Zhu J Y, Park T, Isola P et al. Unpaired image-to-image translation using cycle-consistent adversarial networks[C], 2242-2251(2017).

[26] Bansal A, Ma S G, Ramanan D et al. Recycle-GAN: unsupervised video retargeting[M]. Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018, 11209, 122-138(2018).

[27] Fang Y K, Deng W H, Du J P et al. Identity-aware CycleGAN for face photo-sketch synthesis and recognition[J]. Pattern Recognition, 102, 107249(2020).

[28] Goodfellow I, Pouget-Abadie J, Mirza M et al. Generative adversarial nets[C], 2672-2680(2014).

[29] Wang K F, Gou C, Duan Y J et al. Generative adversarial networks: the state of the art and beyond[J]. Acta Automatica Sinica, 43, 321-332(2017).

[30] Zhao H, Gallo O, Frosio I et al. Loss functions for image restoration with neural networks[J]. IEEE Transactions on Computational Imaging, 3, 47-57(2017).