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科研机构
湖南大学 [44]
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期刊论文 [42]
会议论文 [2]
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2019 [17]
2018 [12]
2017 [2]
2016 [4]
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专题:湖南大学
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Hyperspectral Image Classification With Squeeze Multibias Network.
期刊论文
IEEE Transactions on Geoscience & Remote Sensing, 2019, 卷号: Vol.57 No.3, 页码: 1291-1301
作者:
Fang, Leyuan
;
Liu, Guangyun
;
Li, Shutao
;
Ghamisi, Pedram
;
Benediktsson, Jon Atli
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2019/12/13
Convolution
Convolutional neural network (CNN)
Feature extraction
hyperspectral image (HSI) classification
Hyperspectral imaging
Kernel
multibias module (MBM)
Roads
squeeze convolution module (SCM)
squeeze multibias network (SMBN)
Training
Density Peak-Based Noisy Label Detection for Hyperspectral Image Classification.
期刊论文
IEEE Transactions on Geoscience & Remote Sensing, 2019, 卷号: Vol.57 No.3, 页码: 1573-1584
作者:
Tu, Bing
;
Zhang, Xiaofei
;
Kang, Xudong
;
Zhang, Guoyun
;
Li, Shutao
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2019/12/13
Clustering algorithms
Density peak (DP) clustering
hyperspectral image (HSI)
Hyperspectral imaging
Labeling
Noise measurement
noisy label detection
Support vector machines
support vector machines (SVMs)
Training
Hyperspectral Image Classification With Squeeze Multibias Network
期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: Vol.57 No.3, 页码: 1291-1301
作者:
Leyuan Fang
;
Guangyun Liu
;
Shutao Li
;
Pedram Ghamisi
;
Jón Atli Benediktsson
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2019/12/13
Convolution
Feature extraction
Kernel
Training
Roads
Hyperspectral imaging
Convolutional neural network (CNN)
hyperspectral image (HSI) classification
multibias module (MBM)
squeeze convolution module (SCM)
squeeze multibias network (SMBN)
Density Peak-Based Noisy Label Detection for Hyperspectral Image Classification
期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: Vol.57 No.3, 页码: 1573-1584
作者:
Bing Tu
;
Xiaofei Zhang
;
Xudong Kang
;
Guoyun Zhang
;
Shutao Li
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/13
Noise measurement
Training
Clustering algorithms
Hyperspectral imaging
Labeling
Support vector machines
Density peak (DP) clustering
hyperspectral image (HSI)
noisy label detection
support vector machines (SVMs)
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
Spatial Density Peak Clustering for Hyperspectral Image Classification With Noisy Labels
期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: Vol.57 No.7, 页码: 5085-5097
作者:
Bing Tu
;
Xiaofei Zhang
;
Xudong Kang
;
Jinping Wang
;
Jón Atli Benediktsson
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/13
Noise measurement
Training
Correlation
Clustering algorithms
Hyperspectral imaging
Labeling
Density peak (DP) clustering
hyperspectral image (HSI)
noisy label detection
support vector machines (SVMs)
Density Peak-Based Noisy Label Detection for Hyperspectral Image Classification.
期刊论文
IEEE Transactions on Geoscience & Remote Sensing, 2019, 卷号: Vol.57 No.3, 页码: 1573-1584
作者:
Tu, Bing
;
Zhang, Xiaofei
;
Kang, Xudong
;
Zhang, Guoyun
;
Li, Shutao
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/13
Clustering algorithms
Density peak (DP) clustering
hyperspectral image (HSI)
Hyperspectral imaging
Labeling
Noise measurement
noisy label detection
Support vector machines
support vector machines (SVMs)
Training
Hyperspectral Image Classification With Squeeze Multibias Network.
期刊论文
IEEE Transactions on Geoscience & Remote Sensing, 2019, 卷号: Vol.57 No.3, 页码: 1291-1301
作者:
Fang, Leyuan
;
Liu, Guangyun
;
Li, Shutao
;
Ghamisi, Pedram
;
Benediktsson, Jon Atli
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/12/13
Convolution
Convolutional neural network (CNN)
Feature extraction
hyperspectral image (HSI) classification
Hyperspectral imaging
Kernel
multibias module (MBM)
Roads
squeeze convolution module (SCM)
squeeze multibias network (SMBN)
Training
Density Peak-Based Noisy Label Detection for Hyperspectral Image Classification.
期刊论文
IEEE Transactions on Geoscience & Remote Sensing, 2019, 卷号: Vol.57 No.3, 页码: 1573-1584
作者:
Tu, Bing
;
Zhang, Xiaofei
;
Kang, Xudong
;
Zhang, Guoyun
;
Li, Shutao
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/17
Clustering algorithms
Density peak (DP) clustering
hyperspectral image (HSI)
Hyperspectral imaging
Labeling
Noise measurement
noisy label detection
Support vector machines
support vector machines (SVMs)
Training
Hyperspectral Image Classification With Squeeze Multibias Network.
期刊论文
IEEE Transactions on Geoscience & Remote Sensing, 2019, 卷号: Vol.57 No.3, 页码: 1291-1301
作者:
Fang, Leyuan
;
Liu, Guangyun
;
Li, Shutao
;
Ghamisi, Pedram
;
Benediktsson, Jon Atli
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2019/12/17
Convolution
Convolutional neural network (CNN)
Feature extraction
hyperspectral image (HSI) classification
Hyperspectral imaging
Kernel
multibias module (MBM)
Roads
squeeze convolution module (SCM)
squeeze multibias network (SMBN)
Training
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