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科研机构
湖南大学 [15]
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期刊论文 [14]
会议论文 [1]
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2019 [9]
2018 [5]
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专题:湖南大学
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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: Vol.12 No.4, 页码: 1188-1204
作者:
He, L
;
Rao, YZ
;
Li, J
;
Chanussot, J
;
Plaza, A
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/13
Spatial resolution
Integrated circuits
Task analysis
Transforms
Remote sensing
Convolutional neural networks
Convolutional neural networks (CNNs)
detail injection
pansharpening
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)
Dual-Path Network-Based Hyperspectral Image Classification
期刊论文
IEEE Geoscience and Remote Sensing Letters, 2019, 卷号: Vol.16 No.3, 页码: 447-451
作者:
Xudong Kang
;
Binbin Zhuo
;
Puhong Duan
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/13
Feature extraction
Training
Hyperspectral imaging
Convolution
Principal component analysis
Tools
Convolutional neural networks (CNNs)
dual-path network (DPN)
hyperspectral image (HSI) classification
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)
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: Vol.12 No.4, 页码: 1188-1204
作者:
He, L
;
Rao, YZ
;
Li, J
;
Chanussot, J
;
Plaza, A
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/17
Convolutional neural networks (CNNs)
detail injection
pansharpening
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:
Xie, J
;
He, NJ
;
Fang, LY
;
Plaza, A
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/17
Free-scale convolutional neural networks (CNNs)
fully connected layers (FCLs)
remote sensing scene classification
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
Dual-Path Network-Based Hyperspectral Image Classification
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2019, 卷号: Vol.16 No.3, 页码: 447-451
作者:
Kang, XD
;
Zhuo, BB
;
Du, PH
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/17
Convolutional neural networks (CNNs)
dual-path network (DPN)
hyperspectral image (HSI) classification
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:
He, NJ
;
Paoletti, ME
;
Haut, JM
;
Fang, LY
;
Li, ST
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/12/17
Data augmentation
deep convolutional neural networks (CNNs)
hyperspectral image (HIS) classification
multiscale covariance maps (MCMs)
Deformable Convolutional Neural Networks for Hyperspectral Image Classification
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2018, 卷号: Vol.15 No.8, 页码: 1254-1258
作者:
Zhu, Jian
;
Fang, Leyuan
;
Ghamisi, Pedram
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/26
Convolutional neural networks (CNNs)
deformable convolution
hyperspectral image (HSI) classification
spatial-spectral feature extraction
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