[1]
|
Long J, Shelhamer E, Darrell T.Fully convolutional networks for semantic segmentation[C]//2015 IEEE Conference on Computer Vision and Pattern Recognition.Boston, MA, USA.:3431-3440 |
[2]
|
Szegedy C, Liu W, Jia Y Q, et al.Going deeper with convolutions[C]//2015 IEEE Conference on Computer Vision and Pattern Recognition.Boston, MA.:1-9 |
[3]
|
Zhao H S, Shi J P, Qi X J, et al.Pyramid scene parsing network[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition.Honolulu, HI, USA.:6230-6239 |
[4]
|
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, 2018, 40(4):834-848 |
[5]
|
Chen L C, Papandreou G, Schroff F, et al.Rethinking Atrous Convolution for Semantic Image Segmentation[EB/OL].2017:arXiv:1706.05587.https://arxiv.org/abs/1706.05587 |
[6]
|
Badrinarayanan V, Kendall A, Cipolla R.SegNet:A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 39(12):2481-2495 |
[7]
|
Ronneberger O, Fischer P, Brox T.U-Net:Convolutional Networks for Biomedical Image Segmentation[C]//Medical Image Computing and Computer-Assisted Intervention-MICCAI, Munich, Germany, 2015 |
[8]
|
Diakogiannis F I, Waldner F, Caccetta P, et al.ResUNet-A[J].ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 162:94-114 |
[9]
|
Shao Z F, Tang P H, Wang Z Y, et al.BRRNet:A Fully Convolutional Neural Network for Automatic Building Extraction from High-Resolution Remote Sensing Images[J].Remote Sensing, 2020, 12(6):1050 |
[10]
|
Wei S Q, Ji S P, Lu M.Toward Automatic Building Footprint Delineation from Aerial Images Using CNN and Regularization[J].IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(3):2178-2189 |
[11]
|
Xie Y K, Zhu J, Cao Y G, et al.Refined Extraction of Building Outlines from High-Resolution Remote Sensing Imagery Based on a Multifeature Convolutional Neural Network and Morphological Filtering[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13:1842-1855 |
[12]
|
Woo S, Park J, Lee J Y, et al.CBAM:Convolutional Block Attention Module[EB/OL].2018:arXiv:1807.06521.https://arxiv.org/abs/1807.06521 |
[13]
|
Wang P Q, Chen P F, Yuan Y, et al.Understanding convolution for semantic segmentation[C]//2018 IEEE Winter Conference on Applications of Computer Vision.Lake Tahoe, NV, USA.:1451-1460 |
[14]
|
Fu J, Liu J, Tian H J, et al.Dual attention network for scene segmentation[C]//2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).Long Beach, CA, USA.:3141-3149 |
[15]
|
Lin T Y, Dollár P, Girshick R, et al.Feature pyramid networks for object detection[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition.Honolulu, HI, USA.:936-944 |
[16]
|
Milletari F, Navab N, Ahmadi S A.V-net:Fully convolutional neural networks for volumetric medical image segmentation[C]//2016 Fourth International Conference on 3D Vision (3DV).Stanford, CA, USA.:565-571 |
[17]
|
He S, Jiang W S.Boundary-Assisted Learning for Building Extraction from Optical Remote Sensing Imagery[J].Remote Sensing, 2021, 13(4):760 |
[18]
|
Mnih V.Machine Learning for Aerial Image Labeling[D].Toronto:University of Toronto, 2013 |