[3] Yang G, Zhang Q, Zhang G. EANet:Edge-Aware Network for the Extraction of Buildings from Aerial Images[J]. Re- mote Sensing, 2020, 12(13): 21-61.
[4] Chen X L, Zhao J, Chen S Y, Lightweight Semantic Seg- mentation Network Based on Attention Coding[J]. Laser & Optoelectronics Progress, 2021, 58(14): 225-233.
[5] Ronneberger O, Fischer P, Brox T. U-Net: Convolutional Networks for Biomedical Image Segmentation[M]. Lecture Notes in Computer Science. Cham:Springer, 2015, 9351: 234-241.
[6] Chen L C, Papandreou G, Kokkinos I, etal. DeepLab: Se- mantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018,40(4): 834-848.
[8] Yang M, Yu K, Chi Z, et al. DenseASPP for Semantic Segmentation inStreetScenes[C]/ / CVPR. 2018.
[9] Hou Q, Zhang L, Cheng M M, et al. Strip Pooling: Rethin- king Spatial Pooling for Scene Parsing[J]. IEEE, 2020.
[12] Hu X, Zhong Y, Wang X, et al. SPNet: Spectral Patching End-to-End Classification Network for UAV-Borne Hyper- spectral Imagery With High Spatial andSpectral Resolutions [J]. IEEE Transactions on Geoscience and Remote Sens- ing, 2022, 60.
[13] Jie H, Li S, Gang S, et al. Squeeze-and-Excitation Net- works[J]. IEEE Transactions on Pattern Analysis and Ma- chine Intelligence, 2017, 99.
