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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：32/0  |  提交时间：2023/08/18
Index Terms- Cross-domain object detection  dual-teacher framework  semisupervised object detection  ship detection  teacher-student model  
A Novel NMF Guided for Hyperspectral Unmixing From Incomplete and Noisy Data 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60
作者:  Dong, Le;  Lu, Xiaoqiang;  Liu, Ganchao;  Yuan, Yuan
Adobe PDF(9737Kb)  |  收藏  |  浏览/下载：125/0  |  提交时间：2022/01/18
Image reconstruction  Hyperspectral imaging  Noise measurement  Gaussian noise  Interference  Stability analysis  Sensors  Hyperspectral unmixing (HU)  image reconstruction  nonnegative matrix factorization (NMF)  spatial-spectral information  
A New Method for Direct Measurement of Polarization Characteristics of Water-Leaving Radiation 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60
作者:  Liu, Jia;  Jia, Xinyin;  He, Xianqiang;  Wang, Yihao;  Zhu, Qiankun;  Li, Haiwei;  Zou, Chunbo;  Chen, Tieqiao;  Feng, Xiangpeng;  Zhang, Geng;  Li, Siyuan;  Hu, Bingliang;  Pan, Delu
Adobe PDF(17899Kb)  |  收藏  |  浏览/下载：133/4  |  提交时间：2022/03/25
Field instrument  polarization  polarization-based algorithm  radiative transfer (RT) simulations  water-leaving radiance  
Cross-Domain Scene Classification by Integrating Multiple Incomplete Sources 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 卷号: 59, 期号: 12, 页码: 10035-10046
作者:  Gong, Tengfei;  Zheng, Xiangtao;  Lu, Xiaoqiang
Adobe PDF(4091Kb)  |  收藏  |  浏览/下载：130/1  |  提交时间：2021/12/10
Feature extraction  Optics  Distributed databases  Adversarial machine learning  Technological innovation  Sensors  Remote sensing  Cross-domain scene classification  incomplete source  multisource domain adaptation  unknown categories  
SpectralSpatial Joint Sparse NMF for Hyperspectral Unmixing 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 卷号: 59, 期号: 3, 页码: 2391-2402
作者:  Dong, Le;  Yuan, Yuan;  Lu, Xiaoqiang
Adobe PDF(2358Kb)  |  收藏  |  浏览/下载：198/0  |  提交时间：2021/04/19
Global spatial structure group  local spectral group  nonnegative matrix factorization (NMF)  sparse expression  
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：238/0  |  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  
Deep Cross-Modal ImageVoice Retrieval in Remote Sensing 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 10, 页码: 7049-7061
作者:  Chen, Yaxiong;  Lu, Xiaoqiang;  Wang, Shuai
Adobe PDF(3711Kb)  |  收藏  |  浏览/下载：163/1  |  提交时间：2020/10/30
Remote sensing  Convolution  Quantization (signal)  Image retrieval  Deep learning  Convolutional codes  Hamming distance  Cross-modal remote sensing image-voice retrieval  deep features' similarity  deep hash codes  quantization error  
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：236/5  |  提交时间：2019/11/01
Feature aggregation  remote sensing image  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：218/0  |  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：421/0  |  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