CIOMP OpenIR

浏览/检索结果: 共9条,第1-9条 帮助

已选(0)清除 条数/页:   排序方式:
Inversion Restoring Algorithm for Whiskbroom Scanning Images Synthesized with Deep Convolutional Neural Network 期刊论文
Guangxue Xuebao/Acta Optica Sinica, 2019, 卷号: 39, 期号: 12
作者:  C.Xu;  G.Jin;  X.Yang;  T.Xu;  L.Chang
浏览  |  Adobe PDF(12998Kb)  |  收藏  |  浏览/下载:180/46  |  提交时间:2020/08/24
Image enhancement,Cameras,Convolution,Deep neural networks,Deterioration,Distortion (waves),Geometry,Image quality,Image reconstruction,Network architecture,Neural networks,Pixels,Quality control,Remote sensing,Restoration,Scanning,Space optics  
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
浏览  |  Adobe PDF(2648Kb)  |  收藏  |  浏览/下载:161/58  |  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  
An improved material removal model for robot polishing based on neural networks 期刊论文
Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, 2019, 卷号: 48, 期号: 3
作者:  Y.Yu;  L.Kong;  H.Zhang;  M.Xu;  L.Wang
caj(1946Kb)  |  收藏  |  浏览/下载:151/40  |  提交时间:2020/08/24
Learning algorithms,Deep neural networks,Learning systems,Polishing,Robots  
Scene Restoration and Semantic Classification Network Using Depth Map and Discrete Pooling Technology 期刊论文
Zidonghua Xuebao/Acta Automatica Sinica, 2019, 卷号: 45, 期号: 11, 页码: 2178-2186
作者:  J.-H.Lin;  Y.Yao;  Y.Wang
浏览  |  Adobe PDF(971Kb)  |  收藏  |  浏览/下载:148/54  |  提交时间:2020/08/24
Deep neural networks,Classification (of information),Computer vision,Convolution,Deep learning,Image reconstruction,Neural networks,Semantic Web,Semantics  
Thermal design of Earth-Moon imaging spectrometer load system for high-altitude balloon platform 期刊论文
Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, 2019, 卷号: 48, 期号: 11
作者:  Y.Yang;  L.Chen;  H.Xu;  S.Li;  Y.Wu
浏览  |  Adobe PDF(3838Kb)  |  收藏  |  浏览/下载:138/46  |  提交时间:2020/08/24
Spectrometers,Balloons,Heat transfer,Moon,Neural networks,Remote sensing,Sensitivity analysis  
A Research on Lane Marking Detection Algorithm Based on Neural Network and Least Squares Method 期刊论文
Qiche Gongcheng/Automotive Engineering, 2018, 卷号: 40, 期号: 3, 页码: 363-368
作者:  Jia, Huiqun;  Wei, Zhonghui;  He, Xin;  Li, Muyu
浏览  |  Adobe PDF(493Kb)  |  收藏  |  浏览/下载:299/78  |  提交时间:2019/09/17
Road and street markings  Edge detection  Least squares approximations  Neural networks  Roads and streets  Signal detection  
Scene Classification of Remote Sensing Images Based on Integrated Convolutional Neural Networks 期刊论文
Guangxue Xuebao/Acta Optica Sinica, 2018, 卷号: 38, 期号: 11
作者:  Zhang, Xiaonan;  Zhong, Xing;  Zhu, Ruifei;  Gao, Fang;  Zhang, Zuoxing;  Bao, Songze;  Li, Zhuqiang
浏览  |  Adobe PDF(1223Kb)  |  收藏  |  浏览/下载:344/100  |  提交时间:2019/09/17
Image classification  Backpropagation  Complex networks  Convolution  Data mining  Neural networks  Open Data  Remote sensing  
Predicting tool wear with multi-sensor data using deep belief networks 期刊论文
International Journal of Advanced Manufacturing Technology, 2018, 卷号: 99, 期号: 2019-05-08, 页码: 1917-1926
作者:  Chen, Y. X.;  Jin, Y.;  Jiri, G.
浏览  |  Adobe PDF(2114Kb)  |  收藏  |  浏览/下载:349/130  |  提交时间:2019/09/17
Tool wear prediction  Deep belief network  Support vector regression  Artificial neural network  neural-networks  diagnosis  state  model  optimization  prognostics  machinery  algorithm  filter  Automation & Control Systems  Engineering  
A Comparison: Different DCNN Models for Intelligent Object Detection in Remote Sensing Images 期刊论文
Neural Processing Letters, 2018, 卷号: 0, 页码: 2019-01-11
作者:  Ding, Peng;  Zhang, Ye;  Jia, Ping;  Chang, Xu-ling
浏览  |  Adobe PDF(1572Kb)  |  收藏  |  浏览/下载:260/85  |  提交时间:2019/09/17
Remote sensing  Computer vision  Convolution  Deep learning  Deep neural networks  Neural networks  Object detection  Object recognition  Space optics