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科研机构
北京航空航天大学 [196]
内容类型
会议论文 [98]
期刊论文 [98]
发表日期
2018 [196]
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共196条,第1-10条
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发表日期:2018
专题:北京航空航天大学
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Remote Sensing Image Fusion Based on Two-Stream Fusion Network
期刊论文
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, 卷号: 10704 LNCS, 页码: 428-439
作者:
Liu, X.
;
Wang, Y.
;
Liu, Q.
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/30
Convolution
Deep learning
Deep neural networks
Image resolution
Neural networks
Remote sensing
Satellite imagery
Spectroscopy
Convolutional neural network
High spatial resolution
Multispectral images
Pan-sharpening
Panchromatic (Pan) image
QuickBird satellite
Remote sensing images
Spectral information
Image fusion
Local convolutional features and metric learning for SAR image registration
期刊论文
Cluster Computing, 2018, 卷号: 22, 页码: 1-12
作者:
Guo, Q.
;
Xiao, J.
;
Hu, X.
;
Zhang, B.
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Convolution
Image registration
Neural networks
Radar
Radar imaging
Convolutional neural network
Convolutional Neural Networks (CNN)
Discriminative features
Feature correspondence
Key point matching
Metric learning
State-of-the-art methods
Synthetic aperture radar (SAR) images
Synthetic aperture radar
Application of long short-term memory neural network for multi-step travel time forecasting on urban expressways
会议论文
17th COTA International Conference of Transportation Professionals: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation, CICTP 2017, Shanghai, China, 2017-07-07
作者:
Zhang, Zhihao
;
Wang, Yunpeng
;
Chen, Peng
;
Yu, Guizhen
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/30
Traffic congestion prediction based on long-short term memory neural network models
会议论文
17th COTA International Conference of Transportation Professionals: Transportation Reform and Change - Equity, Inclusiveness, Sharing, and Innovation, CICTP 2017, Shanghai, China, 2017-07-07
作者:
Chen, Min
;
Yu, Guizhen
;
Chen, Peng
;
Wang, Yungpeng
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Learning robust features by extended generative stochastic networks
期刊论文
International Journal of Modeling, Simulation, and Scientific Computing, 2018, 卷号: 9
作者:
Teng, D.
;
Song, X.
;
Gong, G.
;
Zhou, J.
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/30
Deep learning
Education
Learning systems
Neural networks
Object recognition
Stochastic systems
adversarial examples
Feed-forward network
Lateral connections
Overfitting
Random noise
State-of-the-art performance
Stochastic networks
Deep neural networks
Dehazing for Multispectral Remote Sensing Images Based on a Convolutional Neural Network With the Residual Architecture
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018, 卷号: 11, 页码: 1645-1655
作者:
Qin, Manjun
;
Xie, Fengying
;
Li, Wei
;
Shi, Zhenwei
;
Zhang, Haopeng
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2019/12/30
Convolutional neural network (CNN)
haze removal
haze simulation
multispectral remote sensing images
Prediction of Bearing Remaining Useful Life With Deep Convolution Neural Network
期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 13041-13049
作者:
Ren, Lei
;
Sun, Yaqiang
;
Wang, Hao
;
Zhang, Lin
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Cyber-physical-social system
industrial big data
deep learning
RUL prediction
deep convolution neural network
A High Energy Efficient Reconfigurable Hybrid Neural Network Processor for Deep Learning Applications
期刊论文
IEEE JOURNAL OF SOLID-STATE CIRCUITS, 2018, 卷号: 53, 页码: 968-982
作者:
Yin, Shouyi
;
Ouyang, Peng
;
Tang, Shibin
;
Tu, Fengbin
;
Li, Xiudong
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2019/12/30
Energy efficiency
hybrid neural networks (hybrid-NNs)
memory banking
reconfigurable computing
resource partitioning
Automatic Modulation Classification Based on Deep Learning for Unmanned Aerial Vehicles
期刊论文
SENSORS, 2018, 卷号: 18
作者:
Zhang, Duona
;
Ding, Wenrui
;
Zhang, Baochang
;
Xie, Chunyu
;
Li, Hongguang
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/30
deep learning
automatic modulation classification
classifier fusion
convolutional neural network
long short-term memory
A fast and robust convolutional neural network-based defect detection model in product quality control
期刊论文
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2018, 卷号: 94, 页码: 3465-3471
作者:
Wang, Tian
;
Chen, Yang
;
Qiao, Meina
;
Snoussi, Hichem
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/30
Product quality control
Defect detection
Convolutional neural networks
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