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CIOMP OpenIR

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Infrared LSS-Target Detection Via Adaptive TCAIE-LGM Smoothing and Pixel-Based Background Subtraction 期刊论文
Photonic Sensors, 2019, 卷号: 9, 期号: 2, 页码: 179-188
作者:  Y.F.Wu;  Y.J.Wang;  P.X.Liu;  H.Y.Luo;  B.Y.Cheng;  H.J.Sun
浏览  |  Adobe PDF(379Kb)  |  收藏  |  浏览/下载：167/49  |  提交时间：2020/08/24
Small target detection,L0 smoothing,texture complexity,information,entropy,pixel-based adaptive segmentation,search,Instruments & Instrumentation,Optics  
Underwater Object Recognition Based on Deep Encoding-Decoding Network 期刊论文
Journal of Ocean University of China, 2019, 卷号: 18, 期号: 2, 页码: 376-382
作者:  X.H.Wang;  J.H.Ouyang;  D.Y.Li;  G.Zhang
浏览  |  Adobe PDF(464Kb)  |  收藏  |  浏览/下载：157/44  |  提交时间：2020/08/24
deep learning,transfer learning,encoding-decoding,underwater object,object recognition,Oceanography  
The Cat's Eye Effect Target Recognition Method Based on Visual Attention 期刊论文
Chinese Journal of Electronics, 2019, 卷号: 28, 期号: 5, 页码: 1080-1086
作者:  X.B.Wang;  J.Zhang;  S.H.Wang
浏览  |  Adobe PDF(1884Kb)  |  收藏  |  浏览/下载：170/44  |  提交时间：2020/08/24
feature extraction,image fusion,object detection,target-saliency map,target region,Cat's eye effect target recognition method,visual,attention,second-directional derivative filter,directional channels,morphological method,potential targets exist,designed saliency fusing,method,candidate targets,Cat's eye effect target recognition method,based on visual attention (CTRVA),Target recognition,Saliency map,Engineering  
Compass aided visual-inertial odometry 期刊论文
Journal of Visual Communication and Image Representation, 2019, 卷号: 60, 页码: 101-115
作者:  Y.D.Wang;  T.Zhang;  Y.C.Wang;  J.W.Ma;  Y.H.Li;  J.Z.Han
浏览  |  Adobe PDF(4311Kb)  |  收藏  |  浏览/下载：152/61  |  提交时间：2020/08/24
Visual-inertial odometry (VIO),Compass,Sliding window estimator,Inconsistency,Pre-integration,Minimum cost function,image,features,model,slam,Computer Science  
A Back Propagation neural network based optimizing model of space-based large mirror structure 期刊论文
Optik, 2019, 卷号: 179, 页码: 780-786
作者:  Z.S.Wang;  J.X.Zhang;  J.X.Wang;  X.He;  L.L.Fu;  F.X.Tian;  X.F.Liu;  Y.C.Zhao
Adobe PDF(590Kb)  |  收藏  |  浏览/下载：144/51  |  提交时间：2020/08/24
Large mirror,BP neural network,Finite element analysis,Orthogonal,test design,optimization,design,Optics  
Vignetting correction for a single star-sky observation image 期刊论文
Applied Optics, 2019, 卷号: 58, 期号: 16, 页码: 4337-4344
作者:  D.Zhang;  Q.Y.Yang;  T.Chen
Adobe PDF(2504Kb)  |  收藏  |  浏览/下载：103/51  |  提交时间：2020/08/24
Optics  
Background Subtraction With Real-Time Semantic Segmentation 期刊论文
Ieee Access, 2019, 卷号: 7, 页码: 153869-153884
作者:  D.D.Zeng;  X.Chen;  M.Zhu;  M.Goesele;  A.Kuijper
浏览  |  Adobe PDF(6097Kb)  |  收藏  |  浏览/下载：147/42  |  提交时间：2020/08/24
Background subtraction,foreground object detection,semantic,segmentation,video surveillance,density-estimation,Computer Science,Engineering,Telecommunications  
Combining background subtraction algorithms with convolutional neural network 期刊论文
Journal of Electronic Imaging, 2019, 卷号: 28, 期号: 1, 页码: 6
作者:  D.D.Zeng;  M.Zhu;  A.Kuijper
浏览  |  Adobe PDF(1748Kb)  |  收藏  |  浏览/下载：152/45  |  提交时间：2020/08/24
foreground object detection,convolutional neural network,CDnet 2014,dataset,video surveillance,object detection,Engineering,Optics,Imaging Science & Photographic Technology  
MCF3D: Multi-Stage Complementary Fusion for Multi-sensor 3D Object Detection 期刊论文
Ieee Access, 2019, 卷号: 7, 页码: 90801-90814
作者:  J.R.Wang;  M.Zhu;  D.Y.Sun;  B.Wang;  W.Gao;  H.Wei
Adobe PDF(6364Kb)  |  收藏  |  浏览/下载：137/23  |  提交时间：2020/08/24
3D object detection,multi-sensor fusion,attention mechanism,autonomous driving,cloud,Computer Science,Engineering,Telecommunications  
Scene classification of high-resolution remote sensing images based on IMFNet 期刊论文
Journal of Applied Remote Sensing, 2019, 卷号: 13, 期号: 4, 页码: 21
作者:  X.Zhang;  Y.C.Wang;  N.Zhang;  D.D.Xu;  B.Chen;  G.L.Ben;  X.Wang
Adobe PDF(2648Kb)  |  收藏  |  浏览/下载：168/59  |  提交时间：2020/08/24
image processing,remote sensing,artificial intelligence,pattern,recognition,scene classification,convolutional neural-networks,deep,Environmental Sciences & Ecology,Remote Sensing,Imaging Science &,Photographic Technology