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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：38/0  |  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 Spatial-Spectral Joint Attention Network for Change Detection in Multispectral Imagery 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 14
作者:  Zhang, Wuxia;  Zhang, Qinyu;  Liu, Shuo;  Pan, Xiaoying;  Lu, Xiaoqiang
Adobe PDF(15917Kb)  |  收藏  |  浏览/下载：111/0  |  提交时间：2022/08/31
change detection  attention mechanism  spatial-spectral features  multispectral imagery  
Multi-Level Alignment Network for Cross-Domain Ship Detection 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 10
作者:  Xu, Chujie;  Zheng, Xiangtao;  Lu, Xiaoqiang
Adobe PDF(9450Kb)  |  收藏  |  浏览/下载：110/0  |  提交时间：2022/06/29
ship detection  domain adaptation  convolutional neural network  synthetic aperture radar  
Bio-Inspired Representation Learning for Visual Attention Prediction 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 7, 页码: 3562-3575
作者:  Yuan, Yuan;  Ning, Hailong;  Lu, Xiaoqiang
Adobe PDF(2877Kb)  |  收藏  |  浏览/下载：162/0  |  提交时间：2021/07/12
Bio-inspired  center-bias prior  contrast features  densely connected  reduction-attention  semantic features  visual attention prediction (VAP)  
Attribute-Cooperated Convolutional Neural Network for Remote Sensing Image Classification 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 12, 页码: 8358-8371
作者:  Zhang, Yuanlin;  Zheng, Xiangtao;  Yuan, Yuan;  Lu, Xiaoqiang
Adobe PDF(5153Kb)  |  收藏  |  浏览/下载：168/0  |  提交时间：2020/12/21
Feature extraction  Task analysis  Convolutional neural networks  Remote sensing  Visualization  Semantics  Manuals  Attribute learning  convolutional neural networks (CNNs)  relationship learning  remote sensing image (RSI) classification  
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：232/1  |  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  
A Deep Scene Representation for Aerial Scene Classification 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: 57, 期号: 7, 页码: 4799-4809
作者:  Zheng, Xiangtao;  Yuan, Yuan;  Lu, Xiaoqiang
Adobe PDF(3061Kb)  |  收藏  |  浏览/下载：216/3  |  提交时间：2019/07/17
Aerial scene classification  convolutional neural networks (CNNs)  Fisher vector (FV)  multiscale representation  
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  
Person Reidentification Based on Elastic Projections 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 4, 页码: 1314-1327
作者:  Li, Xuelong;  Liu, Lina;  Lu, Xiaoqiang;  Li, XL (reprint author), Chinese Acad Sci, Inst Opt & Precis Mech, Ctr OPTical IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian 710119, Shaanxi, Peoples R China.
Adobe PDF(2236Kb)  |  收藏  |  浏览/下载：261/2  |  提交时间：2018/04/11
Machine Learning  Person Reidentification  Representative And Discriminative  Video Surveillance