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科研机构
武汉大学 [61]
内容类型
期刊论文 [47]
其他 [9]
会议论文 [5]
发表日期
2019 [14]
2018 [22]
2017 [17]
2016 [5]
2015 [2]
2014 [1]
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专题:武汉大学
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Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 期号: 6
作者:
Xu, Yonghao
;
Du, Bo
;
Zhang, Liangpei
;
Cerra, Daniele
;
Pato, Miguel
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2019/12/05
Convolutional neural networks (CNN)
deep learning
hyperspectral (HS) imaging (HSI)
image analysis and data fusion
multimodal
multiresolution
multisource
multispectral light detection and ranging (LiDAR)
The Automatic Segmentation of Mammographic Mass Using the End-To-End Convolutional Network Based on Dense-Prediction
期刊论文
JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2019, 卷号: 9, 期号: 7
作者:
Zhou, Lin
;
Ding, Mingyue
;
Xu, Liying
;
Zhou, Yurong
;
Zhang, Xuming
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/05
Breast Tumor
Segmentation
Deep Learning
Convolutional Neural Network
Encoder-Decoder
Dense Prediction
Multi-Branch Convolution
Block-sparsity recovery via recurrent neural network
期刊论文
SIGNAL PROCESSING, 2019, 卷号: 154
作者:
Lyu, Chengcheng
;
Liu, Zhou
;
Yu, Lei
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/12/05
Compressive sensing
Block-sparse signals
Deep learning
Recurrent neural networks
Long short-term memory
Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data
期刊论文
EBIOMEDICINE, 2019, 卷号: 47
作者:
Yan, Weizheng
;
Calhoun, Vince
;
Song, Ming
;
Cui, Yue
;
Yan, Hao
收藏
  |  
浏览/下载:61/0
  |  
提交时间:2019/12/05
Recurrent neural network (RNN)
Schizophrenia
Multi-site classification
fMRI
Striatum
Cerebellum
Deep learning
Multi-Oriented and Scale-Invariant License Plate Detection Based on Convolutional Neural Networks
期刊论文
SENSORS, 2019, 卷号: 19, 期号: 5
作者:
Han, Jing
;
Yao, Jian
;
Zhao, Jiao
;
Tu, Jingmin
;
Liu, Yahui
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
convolutional neural networks
deep learning
license plate detection
multi-orientation
multi-scale detection
Mapping Tree Species Composition Using OHS-1 Hyperspectral Data and Deep Learning Algorithms in Changbai Mountains, Northeast China
期刊论文
FORESTS, 2019, 卷号: 10, 期号: 9
作者:
Xi, Yanbiao
;
Ren, Chunying
;
Wang, Zongming
;
Wei, Shiqing
;
Bai, Jialing
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/05
deep learning
convolutional neural network
tree species classification
random forest
OHS-1 hyperspectral image
A graph convolutional neural network for classification of building patterns using spatial vector data
期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2019, 卷号: 150
作者:
Yan, Xiongfeng
;
Ai, Tinghua
;
Yang, Min
;
Yin, Hongmei
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/05
Building pattern classification
Graph convolutional neural network
Machine learning
Spatial vector data
Graph Fourier transform
Deep learning
A hybrid model for spatiotemporal forecasting of PM2.5 based on graph convolutional neural network and long short-term memory
期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 卷号: 664
作者:
Qi, Yanlin
;
Li, Qi
;
Karimian, Hamed
;
Liu, Di
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/05
Air pollution forecasting
Spatiotemporal data modelling
Graph convolutional neural network
Long short-term memory
Deep learning
EOVNet: Earth-Observation Image-Based Vehicle Detection Network
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 期号: 9
作者:
Gao, Zhi
;
Ji, Hong
;
Mei, Tiancan
;
Ramesh, Bharath
;
Liu, Xiaodong
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
Convolutional neural network (CNN)
deep learning
earth-observation (EO) images
vehicle detection
A graph convolutional neural network for classification of building patterns using spatial vector data
期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2019, 卷号: 150
作者:
Yan, Xiongfeng
;
Ai, Tinghua
;
Yang, Min
;
Yin, Hongmei
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/05
Building pattern classification
Graph convolutional neural network
Machine learning
Spatial vector data
Graph Fourier transform
Deep learning
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