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Single Shot Anchor Refinement Network for Oriented Object Detection in Optical Remote Sensing Imagery 期刊论文
Ieee Access, 2019, 卷号: 7, 页码: 87150-87161
作者:  S.Z.Bao;  X.Zhong;  R.F.Zhu;  X.N.Zhang;  Z.Q.Li;  M.Y.Li
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Convolutional neural network (CNN),remote sensing,oriented object,detection,anchor refinement,ship detection  
Thermal characterization of a new differential thermal expansion heat switch for space optical remote sensor 期刊论文
Applied Thermal Engineering, 2017, 卷号: 113
作者:  Guo, L.;  X. S. Zhang;  Y. Huang;  R. C. Hu and C. L. Liu
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Saturation Behavior for a Comb-Like Light-Induced Synaptic Transistor 期刊论文
Ieee Electron Device Letters, 2017, 卷号: 38, 期号: 1
作者:  Zhu, G. X.;  X. M. Gao;  Y. H. Li;  J. L. Yuan;  W. Yuan;  Y. C. Yang;  Z. Y. Zhang and Y. J. Wang
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A Hierarchical Optimization Algorithm Based on GPU for Real-Time 3D Reconstruction 期刊论文
3D Research, 2017, 卷号: 8, 期号: 2
作者:  Lin, J.-h.;  L. Wang and Y.-j. Wang
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A Feature-adaptive Subdivision Method for Real-time 3D Reconstruction of Repeated Topology Surfaces 期刊论文
3D Research, 2017, 卷号: 8, 期号: 1
作者:  Lin, J.;  Y. Wang and H. Sun
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Real-Time Multi-Target Localization from Unmanned Aerial Vehicles 期刊论文
Sensors, 2017, 卷号: 17, 期号: 1
作者:  Wang, X.;  J. H. Liu and Q. F. Zhou
浏览  |  Adobe PDF(9934Kb)  |  收藏  |  浏览/下载:546/352  |  提交时间:2018/06/13
Improved gas sensing performance with Pd-doped WO3 center dot H2O nanomaterials for the detection of xylene 期刊论文
Sensors and Actuators B-Chemical, 2017, 卷号: 244
作者:  Li, F.;  Q. X. Qin;  N. Zhang;  C. Chen;  L. Sun;  X. Liu;  Y. Chen;  C. N. Li and S. P. Ruan
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Real-time video compression system design and hardware implementation based on multiple ADV212 期刊论文
High Technology Letters, 2016, 卷号: 22, 期号: 3
作者:  Xu, D.;  W. Wang;  Y. Zhang;  X. Zhang;  T. Fu and J. Ren
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Hexadecafluorophthalocyaninatocopper as an electron conductor for high-efficiency fullerene-free planar perovskite solar cells 期刊论文
Solar Energy Materials and Solar Cells, 2016, 卷号: 157
作者:  Jin, F. M.;  C. Y. Liu;  F. H. Hou;  Q. G. Song;  Z. S. Su;  B. Chu;  P. F. Cheng;  H. F. Zhao and W. L. Li
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基于FPGA的红外与可见光图像融合系统研究 学位论文
: 中国科学院大学, 2015
作者:  陈天明
Adobe PDF(2784Kb)  |  收藏  |  浏览/下载:230/2  |  提交时间:2016/04/11
图像融合  Fpga  特征提取  红外图像  可见光图像