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CASIA OpenIR
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Efficient Remote Sensing Image Super-Resolution via Lightweight Diffusion Models 期刊论文
IEEE Geoscience and Remote Sensing Letters, 2024, 卷号: 21, 页码: 1-5
作者:  An T(安泰);  Xue B(薛斌);  Huo CL(霍春雷);  Xiang SM(向世明);  Pan CH(潘春洪)
Adobe PDF(30422Kb)  |  收藏  |  浏览/下载：98/22  |  提交时间：2024/01/17
Remote sensing super-resolution  lightweight diffusion models  cross-attention mechanism  satellite imagery  
Combining discrete and continuous representation: Scale-arbitrary super-resolution for satellite images 期刊论文
Remote Sensing, 2023, 卷号: 15, 页码: 1827
作者:  An T(安泰);  Huo CL(霍春雷);  Xiang SM(向世明);  Pan CH(潘春洪)
Adobe PDF(14935Kb)  |  收藏  |  浏览/下载：63/7  |  提交时间：2024/01/17
scale-arbitrary super-resolution  image representation  satellite imagery  
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：279/67  |  提交时间：2022/07/01
Meterological forecasting  Deep learning  Neural architecture search  AutoML  
HENet: Head-Level Ensemble Network for Very High Resolution Remote Sensing Images Semantic Segmentation 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 卷号: 19, 页码: 5
作者:  Cao, Yong;  Huo, Chunlei;  Xu, Nuo;  Zhang, Xin;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载：209/0  |  提交时间：2022/06/06
Head  Computational modeling  Semantics  Image segmentation  Feature extraction  Correlation  Mathematical models  Cooperative learning (CL)  ensemble learning  semantic segmentation  
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：151/31  |  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  
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：330/61  |  提交时间：2020/06/22
Domain adaptation (DA)  pixel-level classification  self-training  triplet adversarial learning  very high resolution (VHR)  
Learnable Gated Convolutional Neural Network for Semantic Segmentation in Remote-Sensing Images 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 16, 页码: 22
作者:  Guo, Shichen;  Jin, Qizhao;  Wang, Hongzhen;  Wang, Xuezhi;  Wang, Yangang;  Xiang, Shiming
收藏  |  浏览/下载：274/0  |  提交时间：2019/12/16
semantic segmentation  CNN  deep learning  remote sensing  gate function  multiscale feature fusion  
Parameter optimization criteria guided 3D point cloud classification 期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 卷号: 78, 期号: 4, 页码: 5081-5104
作者:  Li, Hongjun;  Meng, Weiliang;  Liu, Xinying;  Xiang, Shiming;  Zhang, Xiaopeng
浏览  |  Adobe PDF(5959Kb)  |  收藏  |  浏览/下载：389/59  |  提交时间：2019/07/12
Point cloud classification  Feature extraction  Conditional random field  Parameter optimization criterion  Probabilistic neural network  
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：403/34  |  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：461/95  |  提交时间：2019/01/08
Semantic labeling  Convolutional neural networks (CNNs)  Multi-scale contexts  End-to-end