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科研机构
西安交通大学 [34]
内容类型
期刊论文 [19]
会议论文 [15]
发表日期
2019 [2]
2018 [6]
2017 [10]
2016 [3]
2015 [1]
2014 [2]
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专题:西安交通大学
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Target detection of hyperspectral image based on spectral saliency
期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 页码: 316-322
作者:
Zhang, Xiaorong
;
Pan, Zhibin
;
Hu, Bingliang
;
Zheng, Xi
;
Liu, Weihua
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2019/11/19
unsupervised target detection
spectral saliency target detection
spectral matching algorithm
hyperspectral image
remote sensing
geophysical image processing
HSI set
SSD algorithm
object detection
hyperspectral imaging
A Graph-Based Semisupervised Deep Learning Model for PolSAR Image Classification
期刊论文
IEEE Transactions on Geoscience and Remote Sensing, 2019, 卷号: 57, 页码: 2116-2132
作者:
Bi, Haixia
;
Sun, Jian
;
Xu, Zongben
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2019/11/19
Convolutional Neural Networks (CNN)
Graph model
Image edge detection
Polarimetric synthetic aperture radars
Prediction algorithms
Semi-supervised method
Task analysis
SPATIAL-SPECTRAL GRAPH-BASED NONLINEAR EMBEDDING DIMENSIONALITY REDUCTION FOR HYPERSPECTRAL IMAGE CLASSIFICAITON
会议论文
作者:
Zhang, Xiangrong
;
Han, Yaru
;
Huyan, Ning
;
Li, Chen
;
Feng, Jie
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2019/11/19
sparse and low-rank graph
dimensionality reduction
hyperspectral classification
Hyperspectral Image Classification Based on Long Short Term Memory Network
会议论文
作者:
Liu, Jin
;
Zhang, Xiangrong
;
Zhang, Jingyan
;
An, Jinliang
;
Li, Chen
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/19
semantic features
deep learning
long short term memory network
hyperspectral image
Hyperspectral image restoration under complex multi-band noises
期刊论文
Remote Sensing, 2018, 卷号: 10
作者:
Yue, Zongsheng
;
Meng, Deyu
;
Sun, Yongqing
;
Zhao, Qian
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/11/19
Gaussian Mixture Model
Hierarchical Dirichlet process
Hierarchical dirichlet process (HDP)
Mean structural similarity indices
Peak signal to noise ratio
Restoration techniques
State-of-the-art methods
Variational bayes
Hyperspectral Image Restoration Via Total Variation Regularized Low-Rank Tensor Decomposition
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018, 卷号: 11, 页码: 1227-1243
作者:
Wang, Yao
;
Peng, Jiangjun
;
Zhao, Qian
;
Leung, Yee
;
Zhao, Xi-Le
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/26
low-rank tensor decomposition
Hyperspectral image (HSI)
total variation (TV)
mixed noise
Spatial Sequential Recurrent Neural Network for Hyperspectral Image Classification
期刊论文
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 卷号: 11, 页码: 4141-4155
作者:
Zhang, Xiangrong
;
Sun, Yujia
;
Jiang, Kai
;
Li, Chen
;
Jiao, Licheng
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/11/26
Deep learning
high-level semantic feature
hyperspectral image (HSI) classification
low-level feature
recurrent neural network (RNN)
A robust PCA approach with noise structure learning and spatial-spectral low-rank modeling for hyperspectral image restoration
期刊论文
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 卷号: 11, 页码: 3863-3879
作者:
Cao, Wenfei
;
Wang, Kaidong
;
Han, Guodong
;
Yao, Jing
;
Cichocki, Andrzej
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/11/26
Expectation-maximization algorithms
low rank
Mixed noise
Non-local regularization
sparsity
Total variation
NATURAL LANGUAGE DESCRIPTION OF REMOTE SENSING IMAGES BASED ON DEEP LEARNING
会议论文
作者:
Zhang, Xiangrong
;
Li, Xiang
;
An, Jinliang
;
Gao, Li
;
Hou, Biao
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/26
convolutional neural network
natural language description
remote sensing image
recurrent neural network
Distributed Compressed Sensing Based Remote Sensing Image Fusion Algorithm
期刊论文
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2017, 卷号: 39, 页码: 2374-2381
作者:
Liu, Jing
;
Li, Xiaochao
;
Zhu, Kaijian
;
Huang, Kaiyu
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/11/26
Compressive sensing
Distributed Compressed Sensing
Fusion algorithms
Fusion performance
Information correlation
Joint sparsity models
Remote sensing images
Unique features
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