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CASIA OpenIR
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MsIFT: Multi-Source Image Fusion Transformer 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 16, 页码: 19
作者:  Zhang, Xin;  Jiang, Hangzhi;  Xu, Nuo;  Ni, Lei;  Huo, Chunlei;  Pan, Chunhong
Adobe PDF(4788Kb)  |  收藏  |  浏览/下载：263/75  |  提交时间：2022/11/14
transformer  multi-source image fusion  non-local  
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：269/67  |  提交时间：2022/07/01
Meterological forecasting  Deep learning  Neural architecture search  AutoML  
TR-MISR: Multiimage super-resolution based on feature fusion with transformers 期刊论文
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022, 卷号: 15, 页码: 1373-1388
作者:  An T(安泰);  Zhang X(张鑫);  Huo CL(霍春雷);  Xue B(薛斌);  Wang LF(汪凌峰);  Pan CH(潘春洪)
Adobe PDF(6058Kb)  |  收藏  |  浏览/下载：81/7  |  提交时间：2024/01/17
Deep learning  end-to-end networks  feature extraction and fusion  multiimage super-resolution (MISR)  remote sensing  transformers  
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：322/61  |  提交时间：2020/06/22
Domain adaptation (DA)  pixel-level classification  self-training  triplet adversarial learning  very high resolution (VHR)  
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：452/95  |  提交时间：2019/01/08
Semantic labeling  Convolutional neural networks (CNNs)  Multi-scale contexts  End-to-end  
Deep unsupervised learning with consistent inference of latent representations 期刊论文
PATTERN RECOGNITION, 2018, 卷号: 77, 期号: 5, 页码: 438-453
作者:  Chang, Jianlong;  Wang, Lingfeng;  Meng, Gaofeng;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(2654Kb)  |  收藏  |  浏览/下载：436/167  |  提交时间：2018/01/16
Deep Unsupervised Learning  Consistent Inference Of Latent Representations  
Aggregating Rich Hierarchical Features for Scene Classification in Remote Sensing Imagery 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2017, 卷号: 10, 期号: 9, 页码: 4104-4115
作者:  Wang, Guoli;  Fan, Bin;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(878Kb)  |  收藏  |  浏览/下载：498/213  |  提交时间：2017/05/09
Convolutional Neural Networks (Cnns)  Mixed-resolution Representation  Remote Sensing Scene Classification  Vector Of Locally Aggregated Descriptors (Vlad)  
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：434/92  |  提交时间：2017/07/18
Semantic Segmentation  Cnn  Deep Learning  Isprs  Remote Sensing  Gate  
Efficient Multiple Feature Fusion With Hashing for Hyperspectral Imagery Classification: A Comparative Study 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2016, 卷号: 54, 期号: 8, 页码: 4461-4478
作者:  Zhong, Zisha;  Fan, Bin;  Ding, Kun;  Li, Haichang;  Xiang, Shiming;  Pan, Chunhong;  zszhong@nlpr.ia.ac.cn
浏览  |  Adobe PDF(4943Kb)  |  收藏  |  浏览/下载：414/124  |  提交时间：2016/12/26
Binary Codes  Classification  Feature Fusion  Hashing  Hyperspectral Images  
Learning Relationship for Very High Resolution Image Change Detection 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2016, 卷号: 9, 期号: 8, 页码: 3384-3394
作者:  Huo, Chunlei;  Chen, Keming;  Ding, Kun;  Zhou, Zhixin;  Pan, Chunhong
Adobe PDF(969Kb)  |  收藏  |  浏览/下载：439/166  |  提交时间：2017/02/14
Change Detection  Distance Tuning  Interclass Couple  Intraclass Couple  Relationship Learning  Target Neighborhood