[1] YANG G, ZHANG Q, ZHANG G. EANet: Edge-aware Network for the Extraction of Buildings from Aerial Images[J]. Remote Sensing, 12, 2161(2020).

[2] GHAFFARIAN S, KERLE N, PASOLLI E et al. Post-Disaster Building Database Updating Using Automated Deep Learning: An Integration of Pre-Disaster OpenStreetMap and Multi-Temporal Satellite Data[J]. Remote Sensing, 11, 2427(2019).

[3] LIU Y, GROSS L, LI Z et al. Automatic Building Extraction on High-Resolution Remote Sensing Imagery Using Deep Convolutional Encoder-Decoder with Spatial Pyramid Pooling[J]. IEEE Access, 7, 128774-128786(2019).

[4] XU L, LI Y, XU J et al. Gated Spatial Memory and Centroid-Aware Network for Building Instance Extraction[J]. IEEE Transactions on Geoscience and Remote Sensing, 60, 4402214, 1-14(2021).

[15] [15] RONNEBERGER O, FISCHER P, BROX T. U: Convolutional wks f Biomedical Image Segmentation[C]International Conference on Medical Image Computing ComputerAssisted Intervention, October 5–9, 2015, Munich, Germany. [S.l.] : Springer, 2015: 234–241.

[18] [18] CHEN L, ZHU Y, PAPREOU G, et al. EncoderDecoder with Atrous Separable Convolution f Semantic Image Segmentation[C]Proceedings of the European Conference on Computer Vision 2018, September 8–14, 2018, Munich, Germany. [S.l.] : Springer, 2018: 801–818.

[20] [20] CHAURASIA A, CULURCIELLO E. Link: Exploiting Encoder Representations f Efficient Semantic Segmentation[C]2017 IEEE Visual Communications Image Processing: VCIP 2017, December 10–13, 2017, St. Petersburg, Flida, USA. Piscataway: IEEE, 2017: 1–4.

[21] GAO S H, CHENG M M, ZHAO K et al. Res2net: A New Multi-Scale Backbone Architecture[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43, 652-662(2019).

[22] JI S, WEI S, LU M. Fully Convolutional Networks for Multisource Building Extraction from an Open Aerial and Satellite Imagery Data Set[J]. IEEE Transactions on Geoscience and Remote Sensing, 57, 574-586(2018).