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Geographic Optimal Transport for Heterogeneous Data: Fusing Remote Sensing and Social Media
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2021, 卷号: 59, 期号: 8, 页码: 6935-6945
作者:
Liu, Zhenjie
;
Qiu, Qiang
;
Li, Jun
;
Wang, Lizhe
;
Plaza, Antonio
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2021/12/01
Remote sensing
Geology
Social networking (online)
Earth
Artificial satellites
Satellites
Indexes
Data fusion
geolocation alignment
remote sensing
representation alignment
social media
Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)
期刊论文
AUTOPHAGY, 2021, 卷号: 17
作者:
Klionsky, Daniel J.
;
Abdel-Aziz, Amal Kamal
;
Abdelfatah, Sara
;
Abdellatif, Mahmoud
;
Abdoli, Asghar
收藏
  |  
浏览/下载:265/0
  |  
提交时间:2021/05/31
Autophagosome
cancer
flux
LC3
lysosome
macroautophagy
neurodegeneration
phagophore
stress
vacuole
Alirocumab Reduces Total Nonfatal Cardiovascular and Fatal Events The ODYSSEY OUTCOMES Trial
期刊论文
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2019, 卷号: 73, 期号: 4
作者:
Szarek, Michael
;
White, Harvey D.
;
Schwartz, Gregory G.
;
Alings, Marco
;
Bhatt, Deepak L.
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  |  
浏览/下载:134/0
  |  
提交时间:2019/12/05
acute coronary syndrome
alirocumab
total events
DAEN: Deep Autoencoder Networks for Hyperspectral Unmixing
期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: Vol.57 No.7, 页码: 4309-4321
作者:
Yuanchao Su
;
Jun Li
;
Antonio Plaza
;
Andrea Marinoni
;
Paolo Gamba
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  |  
浏览/下载:50/0
  |  
提交时间:2019/12/13
Hyperspectral imaging
Estimation
Computers
Training
Noise reduction
Deep autoencoder network (DAEN)
deep learning
endmember identification
hyperspectral unmixing
variational autoencoder (VAE)
Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification
期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: Vol.57 No.2, 页码: 755-769
作者:
Nanjun He
;
Mercedes E. Paoletti
;
Juan Mario Haut
;
Leyuan Fang
;
Shutao Li
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/12/13
Feature extraction
Hyperspectral imaging
Training
Convolutional neural networks
Electronic mail
Computational modeling
Data augmentation
deep convolutional neural networks (CNNs)
hyperspectral image (HIS) classification
multiscale covariance maps (MCMs)
Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification.
期刊论文
IEEE Transactions on Geoscience & Remote Sensing, 2019, 卷号: Vol.57 No.2, 页码: 755-769
作者:
Nanjun He
;
Paoletti, Mercedes E.
;
Haut, Juan Mario
;
Leyuan Fang
;
Shutao Li
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/13
Data augmentation
deep convolutional neural networks (CNNs)
hyperspectral image (HIS) classification
multiscale covariance maps (MCMs)
Scale-Free Convolutional Neural Network for Remote Sensing Scene Classification
期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: Vol.57 No.9, 页码: 6916-6928
作者:
Jie Xie
;
Nanjun He
;
Leyuan Fang
;
Antonio Plaza
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/17
Remote sensing
Feature extraction
Iron
Data models
Image color analysis
Kernel
Semantics
Free-scale convolutional neural networks (CNNs)
fully connected layers (FCLs)
remote sensing scene classification
Pansharpening via Detail Injection Based Convolutional Neural Networks
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 页码: 1188-1204
作者:
He, Lin
;
Rao, Yizhou
;
Li, Jun
;
Chanussot, Jocelyn
;
Plaza, Antonio
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/30
Convolutional neural networks (CNNs)
detail injection
pansharpening
HyperPNN: Hyperspectral Pansharpening via Spectrally Predictive Convolutional Neural Networks
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 页码: 3092-3100
作者:
He, Lin
;
Zhu, Jiawei
;
Li, Jun
;
Plaza, Antonio
;
Chanussot, Jocelyn
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/30
Convolutional neural networks (CNN)
hyperspectral (HS) image
pansharpening
spectral prediction
A new spectral-spatial sub-pixel mapping model for remotely sensed hyperspectral imagery
期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2018, 卷号: 56, 期号: 11
作者:
Xu, Xiong
;
Tong, Xiaohua
;
Plaza, Antonio
;
Li, Jun
;
Zhong, Yanfei
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  |  
浏览/下载:5/0
  |  
提交时间:2019/12/05
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