[1] Liu J, Wang S, Hou X, et al. A deep residual learning serial segmentation network for extracting buildings from remote sensing imagery［J］. Inter. J. of Remote Sensing, 2020, 41(14): 5573-5587.
[2] Femin A, Biju K S. Accurate detection of buildings from satellite images using CNN［C］// 2nd Inter. Conf. on Electrical, Commun. and Computer Engin., 2020.
[7] Su S, Nawata T, Fuse T. Building change detection from bitemporal aerial images using deep learning［C］// ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020.
[9] Zhang L, Wu J, Fan Y, et al. An efficient building extraction method from high spatial resolution remote sensing images based on improved mask R-CNN［J］. Sensors (Switzerland), 2020, 20(5): 1465.
[10] Cao Z, Wu M, Yan R, et al. Detection of small changed regions in remote sensing imagery using convolutional neural network［C］// IOP Conf. Series Earth and Environmental Science, 2020, 502: 012017.
[11] Yang X, Yang J, Yan J, et al. SCRDet: Towards more robust detection for small, cluttered and rotated objects［C］// 2019 IEEE/CVF Inter. Conf. on Computer Vision (ICCV), 2019.
[12] Fang P, Shi Y. Small object detection using context information fusion in faster R-CNN［C］// 2018 IEEE 4th Inter. Conf. on Computer and Communications (ICCC), 2018.
[13] Zhang G, Wei J. An improved small target detection method based on Yolo V3［C］// 2021 Inter. Conf. on Electronics, Circuits and Information Engineering (ECIE), 2021.
[14] Tian Z, Shen C, Chen H, et al. FCOS: Fully convolutional one-stage object detection［C］// 2019 IEEE/CVF Inter. Conf. on Computer Vision (ICCV), 2020.
[15] Gao S, Cheng M, Zhao K, et al. Res2Net: A new multi-scale backbone architecture［J］. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2021, 43(2): 652-662.
[16] Dai J, Qi H, Xiong Y, et al. Deformable convolutional networks［C］//2017 IEEE Inter. Conf. on Computer Vision (ICCV), 2017: 22-29.
[17] Zhu X, Hu H, Lin S, et al. Deformable convNets v2: More deformable, better results［C］// 2019 IEEE/CVF Conf. on Computer Vision and Pattern Recognition (CVPR), 2019.
[18] Xu Q, Lin R, Yue H, et al. Research on small target detection in driving scenarios based on improved Yolo network［J］. IEEE Access, 2020, 8: 27574-27583.
[19] Das P, Chand S. Attention BuildNet for building extraction from aerial imagery［C］// 2021 Inter. Conf. on Computing, Communication, and Intelligent Systems (ICCCIS), 2021.
[20] Li X, Hu X, Yang J. Spatial group-wise enhance: Improving semantic feature learning in convolutional networks［J］. arXiv e-prints, 2019: 1905-9646.
