[1] Dong S J, Chen Z C. A multi-level feature fusion network for remote sensing image segmentation[J]. Sensors, 21, 1267(2021).

[2] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[J]. Communications of the ACM, 60, 84-90(2017).

[3] Long J, Shelhamer E, Darrell T. Fully convolutional networks for semantic segmentation[C], 3431-3440(2015).

[4] 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. Lecture notes in computer science, 9351, 234-241(2015).

[5] 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/1412.7062

[6] Chen L C, Papandreou G, Kokkinos I et al. DeepLab: semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40, 834-848(2018).

[7] Chen L C, Papandreou G, Schroff F et al. Rethinking atrous convolution for semantic image segmentation[EB/OL]. https://arxiv.org/abs/1706. 05587

[8] Chen L C, Zhu Y K, Papandreou G et al. Encoder-decoder with atrous separable convolution for semantic image segmentation[EB/OL]. https://arxiv.org/abs/1802.02611

[9] Mnih V, Hinton G. Learning to label aerial images from noisy data[C], 203-210(2012).

[10] Mi L, Chen Z Z. Superpixel-enhanced deep neural forest for remote sensing image semantic segmentation[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 159, 140-152(2020).

[11] Singh B, Davis L S. An analysis of scale invariance in object detection-SNIP[C], 3578-3587(2018).

[12] Li J N, Liang X D, Wei Y C et al. Perceptual generative adversarial networks for small object detection[C], 1222-1230(2017).

[13] Lin J B, Jing W P, Song H B. SAN: scale-aware network for semantic segmentation of high-resolution aerial images[EB/OL]. https://arxiv.org/abs/1907.03089

[14] Huang Z L, Wang X G, Huang L C et al. CCNet: criss-cross attention for semantic segmentation[C], 603-612(2019).

[15] Fu J, Liu J, Tian H J et al. Dual attention network for scene segmentation[C], 3141-3149(2019).

[16] Shen D G, Ji Y F, Li P et al. Ranet: region attention network for semantic segmentation[C](2020).

[17] Li H F, Qiu K J, Chen L et al. SCAttNet: semantic segmentation network with spatial and channel attention mechanism for high-resolution remote sensing images[J]. IEEE Geoscience and Remote Sensing Letters, 18, 905-909(2021).

[18] Zhao Q, Liu J H, Li Y W et al. Semantic segmentation with attention mechanism for remote sensing images[J]. IEEE Transactions on Geoscience and Remote Sensing, 60, 5403913(2022).

[19] He K M, Zhang X Y, Ren S Q et al. Deep residual learning for image recognition[C], 770-778(2016).

[20] Gerke M. Use of the stair vision library within the ISPRS 2D semantic labeling benchmark (Vaihingen)[J](2014).

[21] Lin G S, Milan A, Shen C H et al. RefineNet: multi-path refinement networks for high-resolution semantic segmentation[C], 5168-5177(2017).

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