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One-Stage Cascade Refinement Networks for Infrared Small Target Detection 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61
作者:  Dai, Yimian;  Li, Xiang;  Zhou, Fei;  Qian, Yulei;  Chen, Yaohong;  Yang, Jian
Adobe PDF(5590Kb)  |  收藏  |  浏览/下载：93/2  |  提交时间：2023/03/29
Object detection  Head  Magnetic heads  Feature extraction  Proposals  Task analysis  Location awareness  Infrared small target  label assignment  normalized contrast (NoCo)  one-stage cascade refinement  single-frame infrared small target (SIRST)-V2 dataset  
Dual Teacher: A Semisupervised Cotraining Framework for Cross-Domain Ship Detection 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61
作者:  Zheng, Xiangtao;  Cui, Haowen;  Xu, Chujie;  Lu, Xiaoqiang
Adobe PDF(4542Kb)  |  收藏  |  浏览/下载：37/0  |  提交时间：2023/08/18
Index Terms- Cross-domain object detection  dual-teacher framework  semisupervised object detection  ship detection  teacher-student model  
Nonlocal Graph Convolutional Networks for Hyperspectral Image Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 12, 页码: 8246-8257
作者:  Mou, Lichao;  Lu, Xiaoqiang;  Li, Xuelong;  Zhu, Xiao Xiang
Adobe PDF(10395Kb)  |  收藏  |  浏览/下载：250/0  |  提交时间：2020/12/21
Hyperspectral imaging  Convolution  Task analysis  Recurrent neural networks  Semisupervised learning  Support vector machines  Graph convolutional network (GCN)  hyperspectral image classification  nonlocal graph  semisupervised learning  
Gated and Axis-Concentrated Localization Network for Remote Sensing Object Detection 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 1, 页码: 179-192
作者:  Lu, Xiaoqiang;  Zhang, Yuanlin;  Yuan, Yuan;  Feng, Yachuang
Adobe PDF(6944Kb)  |  收藏  |  浏览/下载：242/1  |  提交时间：2020/04/14
Object detection  Feature extraction  Remote sensing  Deep learning  Detectors  Logic gates  Semantics  Deep learning  gated axis-concentrated localization network (GACL Net)  localization  remote sensing  small object detection  
Robust Space-Frequency Joint Representation for Remote Sensing Image Scene Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 10, 页码: 7492-7502
作者:  Fang, Jie;  Yuan, Yuan;  Lu, Xiaoqiang;  Feng, Yachuang
Adobe PDF(5771Kb)  |  收藏  |  浏览/下载：231/1  |  提交时间：2019/11/01
Frequency domain  joint representation  remote sensing image classification  robust  space domain  
A Feature Aggregation Convolutional Neural Network for Remote Sensing Scene Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 10, 页码: 7894-7906
作者:  Lu, Xiaoqiang;  Sun, Hao;  Zheng, Xiangtao
Adobe PDF(6634Kb)  |  收藏  |  浏览/下载：241/5  |  提交时间：2019/11/01
Feature aggregation  remote sensing image  scene classification  
Hierarchical and Robust Convolutional Neural Network for Very High-Resolution Remote Sensing Object Detection 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 8, 页码: 5535-5548
作者:  Zhang, Yuanlin;  Yuan, Yuan;  Feng, Yachuang;  Lu, Xiaoqiang
Adobe PDF(11192Kb)  |  收藏  |  浏览/下载：353/3  |  提交时间：2019/08/13
Convolutional neural networks (CNNs)  hierarchical robust CNN (HRCNN)  hierarchical spatial semantic (HSS)  object detection  remote sensing images (RSIs)  rotation and scaling robust enhancement (RSRE)  
Remote Sensing Image Scene Classification Using Rearranged Local Features 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 3, 页码: 1779–1792
作者:  Yuan, Yuan;  Fang, Jie;  Lu, Xiaoqiang;  Feng, Yachuang
Adobe PDF(7201Kb)  |  收藏  |  浏览/下载：242/1  |  提交时间：2019/04/09
Feature fusion  rearranged local features  remote sensing image  representation scene classification  
Locality and Structure Regularized Low Rank Representation for Hyperspectral Image Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 2, 页码: 911-923
作者:  Wang, Qi;  He, Xiang;  Li, Xuelong
Adobe PDF(2021Kb)  |  收藏  |  浏览/下载：223/0  |  提交时间：2019/03/14
Block-diagonal structure  hyperspectral image (HSI) classification  low-rank representation (LRR)  
GETNET: A General End-to-End 2-D CNN Framework for Hyperspectral Image Change Detection 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 1, 页码: 3-13
作者:  Wang, Qi;  Yuan, Zhenghang;  Du, Qian;  Li, Xuelong
Adobe PDF(3597Kb)  |  收藏  |  浏览/下载：424/0  |  提交时间：2019/03/14
2-D convolutional neural network (CNN)  change detection (CD)  deep learning  hyperspectral image (HSI)  mixed-affinity matrix  spectral unmixing