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CASIA OpenIR
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DCAT: Dual Cross-Attention-Based Transformer for Change Detection 期刊论文
Remote Sensing, 2023, 卷号: 15, 期号: 9, 页码: 2395
作者:  Yuan Zhou;  Chunlei Huo;  Jiahang Zhu;  Leigang Huo;  Chunhong Pan
Adobe PDF(47919Kb)  |  收藏  |  浏览/下载：169/23  |  提交时间：2023/06/16
change detection  transformer  dual cross-attention  remote sensing  
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：364/93  |  提交时间：2022/11/14
transformer  multi-source image fusion  non-local  
AHDet: A dynamic coarse-to-fine gaze strategy for active object detection 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 522-532
作者:  Xu, Nuo;  Huo, Chunlei;  Zhang, Xin;  Pan, Chunhong
Adobe PDF(2664Kb)  |  收藏  |  浏览/下载：364/68  |  提交时间：2022/09/19
Object detection  Active object detection  Deep reinforcement learning  Convolutional neural networks  
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
Adobe PDF(1478Kb)  |  收藏  |  浏览/下载：281/9  |  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  
Hyperparameter Configuration Learning for Ship Detection From Synthetic Aperture Radar Images 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 卷号: 19, 页码: 5
作者:  Xu, Nuo;  Huo, Chunlei;  Zhang, Xin;  Cao, Yong;  Pan, Chunhong
Adobe PDF(4808Kb)  |  收藏  |  浏览/下载：350/88  |  提交时间：2022/02/16
Radar polarimetry  Synthetic aperture radar  Marine vehicles  Training  Feature extraction  Optimization  Optical sensors  Hyperparameter configuration learning (HCL)  object detection  reinforcement learning (RL)  synthetic aperture radar (SAR)  
Dynamic camera configuration learning for high-confidence active object detection 期刊论文
NEUROCOMPUTING, 2021, 卷号: 466, 页码: 113-127
作者:  Xu, Nuo;  Huo, Chunlei;  Zhang, Xin;  Cao, Yong;  Meng, Gaofeng;  Pan, Chunhong
Adobe PDF(4412Kb)  |  收藏  |  浏览/下载：346/70  |  提交时间：2021/12/28
Object detection  Active object detection  Deep reinforcement learning  Camera control  
Multitask Learning for Ship Detection From Synthetic Aperture Radar Images 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2021, 卷号: 14, 页码: 8048-8062
作者:  Zhang, Xin;  Huo, Chunlei;  Xu, Nuo;  Jiang, Hangzhi;  Cao, Yong;  Ni, Lei;  Pan, Chunhong
Adobe PDF(12575Kb)  |  收藏  |  浏览/下载：308/56  |  提交时间：2021/11/03
Task analysis  Feature extraction  Radar polarimetry  Object detection  Marine vehicles  Detectors  Synthetic aperture radar  Multitask learning  synthetic aperture radar (SAR)  SAR ship detection  
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：434/114  |  提交时间：2020/06/22
Domain adaptation (DA)  pixel-level classification  self-training  triplet adversarial learning  very high resolution (VHR)  
Cross-Modal Hashing via Rank-Order Preserving 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2017, 卷号: 19, 期号: 3, 页码: 571-585
作者:  Kun Ding;  Bin Fan;  Chunlei Huo;  Shiming Xiang;  Chunhong Pan;  Huo CL(霍春雷)
Adobe PDF(1451Kb)  |  收藏  |  浏览/下载：886/351  |  提交时间：2016/10/24
Cross-modal Similarity Search  Cross-modal Hashing (Cmh)  Rank-order Preserving  
Change Field: A New Change Measure for VHR Images 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2014, 卷号: 11, 期号: 10, 页码: 1812-1816
作者:  Huo, Leigang;  Feng, Xiangchu;  Huo, Chunlei;  Zhou, Zhixin;  Pan, Chunhong
Adobe PDF(656Kb)  |  收藏  |  浏览/下载：300/73  |  提交时间：2015/08/12
Change Detection  Change Field  Progressive Transductive Classification  Very High Resolution (Vhr) Images