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Hyperspectral Images Classification With Gabor Filtering and Convolutional Neural Network
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 12, 页码: 2355-2359
作者:
Chen, Yushi
;
Zhu, Lin
;
Ghamisi, Pedram
;
Jia, Xiuping
;
Li, Guoyu
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2019/10/09
Convolutional neural network (CNN)
deep learning
feature extraction (FE)
Gabor filtering
hyperspectral images (HSIs)
Updating Landsat-based forest cover maps with MODIS images using multiscale spectral-spatial-temporal superresolution mapping
期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2017, 卷号: 63, 页码: 129-142
作者:
Zhang, Yihang
;
Li, Xiaodong
;
Ling, Feng
;
Atkinson, Peter M.
;
Ge, Yong
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2019/09/25
Forest cover mapping
MODIS
Landsat
Updating
Spectral-spatial-temporal
Super-resolution mapping
An Object-Based Linear Weight Assignment Fusion Scheme to Improve Classification Accuracy Using Landsat and MODIS Data at the Decision Level
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2017, 卷号: 55, 期号: 12, 页码: 6989-7002
作者:
Guan, Xudong
;
Liu, Gaohuan
;
Huang, Chong
;
Liu, Qingsheng
;
Wu, Chunsheng
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2019/09/25
Decision fusion
fuzzy sets
image classification
image segmentation
remote sensing
time-series analysis
FusionNet: Edge Aware Deep Convolutional Networks for Semantic Segmentation of Remote Sensing Harbor Images
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2017, 卷号: 10, 期号: 12, 页码: 5769-5783
作者:
Cheng, Dongcai
;
Meng, Gaofeng
;
Xiang, Shiming
;
Pan, Chunhong
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  |  
浏览/下载:39/0
  |  
提交时间:2017/12/06
Edge Aware Regularization
Harbor Images
Multitask Learning
Semantic Segmentation
Forest Types Classification Based on Multi-Source Data Fusion
期刊论文
REMOTE SENSING, 2017, 卷号: 9, 期号: 11, 页码: 22
作者:
Lu, Ming
;
Chen, Bin
;
Liao, Xiaohan
;
Yue, Tianxiang
;
Yue, Huanyin
收藏
  |  
浏览/下载:137/0
  |  
提交时间:2019/05/30
data fusion
forest types
classification
Local Discriminant Canonical Correlation Analysis for Supervised PolSAR Image Classification
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 11, 页码: 2102-2106
作者:
Huang, Xiayuan
;
Zhang, Bo
;
Qiao, Hong
;
Nie, Xiangli
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  |  
浏览/下载:19/0
  |  
提交时间:2018/07/30
Canonical correlation analysis (CCA)
dimensionality reduction (DR)
local discriminant embedding (LDE)
multiview feature extraction
supervised polarimetric synthetic aperture radar (PolSAR) image classification
An application of tree species classification using high-resolution remote sensing image based on the rough set theory
期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2017, 卷号: 76, 期号: 21, 页码: 22999-23015
作者:
Zeng, Yi
;
Wang, Shuang
;
Zhao, Tianzhong
;
Wang, Jing
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  |  
浏览/下载:11/0
  |  
提交时间:2019/09/25
Rough set theory
Feature extraction
Object-oriented classification
Tree species recognition
Forest monitoring
Local Discriminant Canonical Correlation Analysis for Supervised PolSAR Image Classification
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 11, 页码: 2102-2106
作者:
Huang, Xiayuan
;
Zhang, Bo
;
Qiao, Hong
;
Nie, Xiangli
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2017/12/30
Canonical Correlation Analysis (Cca)
Dimensionality Reduction (Dr)
Local Discriminant Embedding (Lde)
Multiview Feature Extraction
Supervised Polarimetric Synthetic Aperture Radar (Polsar) Image Classification
Locality Adaptive Discriminant Analysis for Spectral-Spatial Classification of Hyperspectral Images
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 11, 页码: 2077-2081
作者:
Wang, Qi
;
Meng, Zhaotie
;
Li, Xuelong
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2017/12/26
Classification
Hyperspectral Images (Hsis)
Locality Adaptive Discriminant Analysis (Lada)
Spectral-spatial
Application of Deep Networks to Oil Spill Detection Using Polarimetric Synthetic Aperture Radar Images
期刊论文
APPLIED SCIENCES-BASEL, 2017, 卷号: 7, 期号: 10
作者:
Li, Yu
;
Chen, Guandong
;
Sun, Guangmin
;
Zhang, Yuanzhi
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  |  
浏览/下载:33/0
  |  
提交时间:2018/01/08
Oil Spill
Polarimetric Synthetic Aperture Radar (Sar)
Deep Belief Network
Autoencoder
Remote Sensing
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