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CMT: Cross Mean Teacher Unsupervised Domain Adaptation for VHR Image Semantic Segmentation 期刊论文
IEEE Geoscience and Remote Sensing Letters, 2021, 卷号: 0, 期号: 0, 页码: 1-5
作者:  Liang Yan;  Bin Fan;  Shiming Xiang;  Chunhong Pan
Adobe PDF(1700Kb)  |  收藏  |  浏览/下载：192/41  |  提交时间：2021/06/15
Cross mean teacher (CMT)  self-training (ST)  semantic segmentation  unsupervised domain adaptation (UDA)  very-high-resolution (VHR) image  
Adversarial Domain Adaptation with a Domain Similarity Discriminator for Semantic Segmentation of Urban Areas 会议论文
2018 25th IEEE International Conference on Image Processing (ICIP), Athens, Greece, 7-10 Oct. 2018
作者:  Liang Yan;  Bin Fan;  Shiming Xiang;  Chunhong Pan
Adobe PDF(858Kb)  |  收藏  |  浏览/下载：201/71  |  提交时间：2021/05/31
Triplet Adversarial Domain Adaptation for Pixel-Level Classification of VHR Remote Sensing Images 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 5, 页码: 3558-3573
作者:  Yan, Liang;  Fan, Bin;  Liu, Hongmin;  Huo, Chunlei;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(6348Kb)  |  收藏  |  浏览/下载：390/83  |  提交时间：2020/06/22
Domain adaptation (DA)  pixel-level classification  self-training  triplet adversarial learning  very high resolution (VHR)  
SeNet: Structured Edge Network for Sea--Land Segmentation 期刊论文
IEEE Geoscience and Remote Sensing Letters, 2017, 期号: 2, 页码: 247-251
作者:  Cheng, Dongcai;  Meng, Gaofeng;  Cheng, Guangliang;  Pan, Chunhong
浏览  |  Adobe PDF(2982Kb)  |  收藏  |  浏览/下载：536/196  |  提交时间：2017/12/06
Sea--land Segmentation  Deconvolution Network (Deconvnet)  Local Smooth Regularization  Structured Edge Network (Senet)  
Road Extraction Via Adpative Graph Cuts with Multiple Features 会议论文
, 法国巴黎, 2014年10月
作者:  Cheng GL(程光亮);  Wang Y(王颖);  Zhu FY(朱飞云);  Pan CH(潘春洪)
浏览  |  Adobe PDF(2360Kb)  |  收藏  |  浏览/下载：366/89  |  提交时间：2017/05/09
Road Extraction  Adaptive Graph Cuts  Multiple  Spatially Contextual Feature  
Automatic Road Detection and Centerline Extraction via Cascaded End-to-End Convolutional Neural Network 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2017, 卷号: 55, 期号: 6, 页码: 3322-3337
作者:  Cheng, Guangliang;  Wang, Ying;  Xu, Shibiao;  Wang, Hongzhen;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(11402Kb)  |  收藏  |  浏览/下载：618/132  |  提交时间：2017/05/09
Cascaded Convolutional Neural Network (Casnet)  End-to-end  Road Centerline Extraction  Road Detection  
Accurate urban road centerline extraction from VHR imagery via multiscale segmentation and tensor voting 期刊论文
Neurocomputing, 2016, 期号: 205, 页码: 407-420
作者:  Cheng GL(程光亮);  Zhu FY(朱飞云);  Xiang SM(向世明);  Wang Y(王颖);  Pan CH(潘春洪)
浏览  |  Adobe PDF(4943Kb)  |  收藏  |  浏览/下载：481/158  |  提交时间：2017/05/09
Road Centerline Extraction  Multiscale Segmentation  Tensor Voting  Non-maximum Suppression  Fitting Based Centerline Connection  
Building extraction from multi-source remote sensing images via deep deconvolution neural networks 会议论文
, Beijing, China, 10-15 July 2016
作者:  Zuming Huang (黄祖明);  Guangliang Cheng;  Hongzhen Wang;  Haichang Li;  Limin Shi;  Chunhong Pan
浏览  |  Adobe PDF(10152Kb)  |  收藏  |  浏览/下载：580/201  |  提交时间：2017/05/04
Road Centerline Extraction via Semisupervised Segmentation and Multidirection Nonmaximum Suppression 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2016, 卷号: 13, 期号: 4, 页码: 545-549
作者:  Cheng, Guangliang;  Zhu, Feiyun;  Xiang, Shiming;  Pan, Chunhong;  Cheng GL(程光亮)
浏览  |  Adobe PDF(1560Kb)  |  收藏  |  浏览/下载：542/235  |  提交时间：2016/10/20
Multidirection Nonmaximum Suppression (M-nms)  Multiscale Filtering (Mf)  Road Centerline Extraction  Semisupervised Segmentation  
Semisupervised Hyperspectral Image Classification via Discriminant Analysis and Robust Regression 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2016, 卷号: 9, 期号: 2, 页码: 595-608
作者:  Cheng, Guangliang;  Zhu, Feiyun;  Xiang, Shiming;  Wang, Ying;  Pan, Chunhong
浏览  |  Adobe PDF(2011Kb)  |  收藏  |  浏览/下载：479/161  |  提交时间：2016/06/14
Discriminant Analysis  Hyperspectral Image Classification (Hsic)  Pairwise Constraints  Robust Regression  Semisupervised Learning (Ssl)