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GFFNet: Global Feature Fusion Network for Semantic Segmentation of Large-Scale Remote Sensing Images 期刊论文
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 卷号: 17, 期号: 2024, 页码: 4222 - 4234
作者:  Cao, Yong;  Huo, Chunlei;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(4340Kb)  |  收藏  |  浏览/下载：25/5  |  提交时间：2024/06/25
Cross feature fusion (CFF)  global context learning  group transformer  semantic segmentation  
Meta Graph Transformer: A Novel Framework for Spatial-Temporal Traffic Prediction 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 544-563
作者:  Ye, Xue;  Fang, Shen;  Sun, Fang;  Zhang, Chunxia;  Xiang, Shiming
Adobe PDF(3491Kb)  |  收藏  |  浏览/下载：269/35  |  提交时间：2022/09/19
Traffic prediction  Spatial-temporal modeling  Meta-learning  Attention mechanism  Deep learning  
Multi-modal spatio-temporal meteorological forecasting with deep neural network 期刊论文
ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 页码: 14
作者:  Xinbang Zhang;  Qizhao Jin;  Tingzhao Yu;  Shiming Xiang;  Qiuming Kuang;  Véronique Prinet;  Chunhong Pan
Adobe PDF(3735Kb)  |  收藏  |  浏览/下载：330/79  |  提交时间：2022/07/01
Meterological forecasting  Deep learning  Neural architecture search  AutoML  
Local-Aggregation Graph Networks 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 卷号: 42, 期号: 11, 页码: 2874-2886
作者:  Jianlong Chang;  Lingfeng Wang;  Gaofeng Meng;  Shiming Xiang;  Chunhong Pan
浏览  |  Adobe PDF(3090Kb)  |  收藏  |  浏览/下载：283/99  |  提交时间：2020/10/20
Local-aggregation function  local-aggregation graph neural network  non-Euclidean structured signal  
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：409/97  |  提交时间：2020/06/22
Domain adaptation (DA)  pixel-level classification  self-training  triplet adversarial learning  very high resolution (VHR)  
Automatic Building Rooftop Extraction From Aerial Images via Hierarchical RGB-D Priors 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 卷号: 56, 期号: 12, 页码: 7369-7387
作者:  Xu, Shibiao;  Pan, Xingjia;  Li, Er;  Wu, Baoyuan;  Bu, Shuhui;  Dong, Weiming;  Xiang, Shiming;  Zhang, Xiaopeng
浏览  |  Adobe PDF(30927Kb)  |  收藏  |  浏览/下载：461/40  |  提交时间：2019/07/12
High-order conditional random field (CRF)  multilevel segmentation  RGB-D priors  rooftop extraction  
Semantic labeling in very high resolution images via a self-cascaded convolutional neural network 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2018, 卷号: 145, 期号: 1, 页码: 78-95
作者:  Liu, Yongcheng;  Fan, Bin;  Wang, Lingfeng;  Bai, Jun;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(1679Kb)  |  收藏  |  浏览/下载：528/110  |  提交时间：2019/01/08
Semantic labeling  Convolutional neural networks (CNNs)  Multi-scale contexts  End-to-end  
Gated Convolutional Neural Network for Semantic Segmentation in High-Resolution Images 期刊论文
REMOTE SENSING, 2017, 卷号: 9, 期号: 5, 页码: 446
作者:  Wang, Hongzhen;  Wang, Ying;  Zhang, Qian;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(2410Kb)  |  收藏  |  浏览/下载：493/99  |  提交时间：2017/07/18
Semantic Segmentation  Cnn  Deep Learning  Isprs  Remote Sensing  Gate  
Fine-structured object segmentation via neighborhood propagation 期刊论文
PATTERN RECOGNITION, 2016, 卷号: 60, 期号: null, 页码: 130-144
作者:  Gong, Yongchao;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(3612Kb)  |  收藏  |  浏览/下载：378/141  |  提交时间：2016/12/26
Fine-structured Object Segmentation  Label Propagation  Affinity Graph  Local And nonLocal Neighborhood  Region Cost  
Cross-Modal Retrieval via Deep and Bidirectional Representation Learning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2016, 卷号: 18, 期号: 7, 页码: 1363-1377
作者:  He, Yonghao;  Xiang, Shiming;  Kang, Cuicui;  Wang, Jian;  Pan, Chunhong;  Xiang,Shiming
浏览  |  Adobe PDF(11388Kb)  |  收藏  |  浏览/下载：520/145  |  提交时间：2016/06/22
Bidirectional Modeling  Convolutional Neural Network  Cross-modal Retrieval  Representation Learning  Word Embedding