×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
湖南大学 [229]
内容类型
期刊论文 [183]
会议论文 [46]
发表日期
2019 [73]
2018 [57]
2017 [18]
2016 [10]
2015 [15]
2014 [8]
更多...
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共229条,第1-10条
帮助
限定条件
专题:湖南大学
第一署名单位
第一作者单位
通讯作者单位
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
发表日期升序
发表日期降序
提交时间升序
提交时间降序
题名升序
题名降序
作者升序
作者降序
Multispectral and hyperspectral image fusion with spatial-spectral sparse representation
期刊论文
Information Fusion, 2019, 卷号: Vol.49, 页码: 262-270
作者:
Renwei Dian
;
Shutao Li
;
Leyuan Fang
;
Qi Wei
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/13
Hyperspectral imaging
Hyperspectral image super-resolution
Spatial-spectral sparse representation
Image fusion
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
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
收藏
  |  
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)
Scalable One-Pass Self-Representation Learning for Hyperspectral Band Selection
期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: Vol.57 No.7, 页码: 4360-4374
作者:
Xiaohui Wei
;
Wen Zhu
;
Bo Liao
;
Lijun Cai
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/13
Hyperspectral imaging
Principal component analysis
Big Data
Matrix decomposition
Sensors
Adaptive regression
classification
convolutional neural network (CNN)
hyperspectral band selection
one-pass self-representation learning (SRL)
row-sparsity norm
Feature extraction from hyperspectral images using learned edge structures.
期刊论文
Remote Sensing Letters, 2019, 卷号: Vol.10 No.3, 页码: 244-253
作者:
Zhang, Ying
;
Kang, Xudong
;
Li, Shutao
;
Duan, Puhong
;
Benediktsson, Jó
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/12/13
Abundance-Indicated Subspace for Hyperspectral Classification With Limited Training Samples
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: 1265-1278
作者:
Shuyuan Xu
;
Jun Li
;
Mahdi Khodadadzadeh
;
Andrea Marinoni
;
Paolo Gamba
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/13
Hyperspectral imaging
Training
Earth
Logistics
Feature extraction
Hyperspectral image classification
mixed pixels
mutinomial logistic regression (MLR)
spectral unmixing
subspace learning
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)
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)
©版权所有 ©2017 CSpace - Powered by
CSpace