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Single Space Object Image Denoising and Super-Resolution Reconstructing Using Deep Convolutional Networks 期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 16
Authors:  Feng, Xubin;  Su, Xiuqin;  Shen, Junge;  Jin, Humin
Adobe PDF(1556Kb)  |  Favorite  |  View/Download:44/0  |  Submit date:2019/09/27
space object  cosmic-ray  denoising  super-resolution  CNN  residual learning  
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
Authors:  Zhang, Yuanlin;  Yuan, Yuan;  Feng, Yachuang;  Lu, Xiaoqiang
Adobe PDF(11192Kb)  |  Favorite  |  View/Download:127/3  |  Submit date: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)  
The spectral-spatial joint learning for change detection in multispectral imagery 期刊论文
Remote Sensing, 2019, 卷号: 11, 期号: 3
Authors:  Zhang, Wuxia;  Lu, Xiaoqiang
Adobe PDF(13482Kb)  |  Favorite  |  View/Download:52/0  |  Submit date:2019/03/26
multispectral imagery  spectral-spatial representation  Siamese CNN  feature fusion  discrimination learning  change detection  
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
Authors:  Wang, Qi;  Yuan, Zhenghang;  Du, Qian;  Li, Xuelong
Adobe PDF(3597Kb)  |  Favorite  |  View/Download:119/0  |  Submit date:2019/03/14
2-D convolutional neural network (CNN)  change detection (CD)  deep learning  hyperspectral image (HSI)  mixed-affinity matrix  spectral unmixing  
Weakly Supervised Object Detection via Object-Specific Pixel Gradient 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 12, 页码: 5960-5970
Authors:  Shen, Yunhang;  Ji, Rongrong;  Wang, Changhu;  Li, Xi;  Li, Xuelong
Adobe PDF(4529Kb)  |  Favorite  |  View/Download:50/0  |  Submit date:2018/12/10
Convolutional Neural Network (Cnn)  Object Detection  Weakly Supervised  
Patient-specific ECG classification by deeper CNN from generic to dedicated 期刊论文
NEUROCOMPUTING, 2018, 卷号: 314, 页码: 336-346
Authors:  Li, Yazhao;  Pang, Yanwei;  Wang, Jian;  Li, Xuelong
Adobe PDF(933Kb)  |  Favorite  |  View/Download:61/1  |  Submit date:2018/10/12
Ecg Classification  Deep Convolutional Neural Networks (Cnn)  Generic Cnn (gCnn)  Tuned Dedicated Cnn (tdCnn)  Heart Monitoring  Wearable Devices  
Cascaded Subpatch Networks for Effective CNNs 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 7, 页码: 2684-2694
Authors:  Jiang, Xiaoheng;  Pang, Yanwei;  Sun, Manli;  Li, Xuelong;  Pang, YW (reprint author), Tianjin Univ, Sch Elect & Informat Enginnering, Tianjin 300072, Peoples R China.
Adobe PDF(2610Kb)  |  Favorite  |  View/Download:91/1  |  Submit date:2018/07/13
Cascaded Subpatch Networks (Csnet)  Convolutional Neural Network (Cnn)  Feature Extraction  Subpatch Filter  
Study on Quality Identification of Macadamia nut Based on Convolutional Neural Networks and Spectral Features 期刊论文
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2018, 卷号: 38, 期号: 5, 页码: 1514-1519
Authors:  Du Jian;  Hu Bing-liang;  Liu Yong-zheng;  Wei Cui-yu;  Zhang Geng;  Tang Xing-jia;  Hu, BL (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, Key Lab Spectral Imaging Technol, Xian 710119, Shaanxi, Peoples R China.
Adobe PDF(1238Kb)  |  Favorite  |  View/Download:143/1  |  Submit date:2018/06/11
Vis-nirs  Macadamia Nut  Deep Learning  Convolutional Neural Network (Cnn)  Quality Identification  
Learning to Predict Eye Fixations via Multiresolution Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 2, 页码: 392-404
Authors:  Liu, Nian;  Han, Junwei;  Liu, Tianming;  Li, Xuelong
Adobe PDF(2296Kb)  |  Favorite  |  View/Download:27/1  |  Submit date:2018/12/11
Contrast  Convolutional Neural Network (Cnn)  Eye Fixation Prediction  Rgb-d  Saliency Detection  
Randomly translational activation inspired by the input distributions of ReLU 期刊论文
NEUROCOMPUTING, 2018, 卷号: 275, 页码: 859-868
Authors:  Cao, Jiale;  Pang, Yanwei;  Li, Xuelong;  Liang, Jingkun
Adobe PDF(853Kb)  |  Favorite  |  View/Download:21/1  |  Submit date:2018/12/12
Cnn  Non-linear Activation  Relu  The Input Distributions Of Relu  Random Translation  Rt-relu