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科研机构
武汉大学 [4]
北京航空航天大学 [1]
山东大学 [1]
中南大学 [1]
内容类型
期刊论文 [7]
发表日期
2019 [3]
2017 [2]
2015 [2]
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Deep Learning Based Retrieval of Forest Aboveground Biomass from Combined LiDAR and Landsat 8 Data
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 12
作者:
Zhang, Linjing
;
Shao, Zhenfeng
;
Liu, Jianchen
;
Cheng, Qimin
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/05
LiDAR
Landsat 8 OLI
combined optical and LiDAR indices
synergy
Stacked Sparse Autoencoder network (SSAE)
forest aboveground biomass (AGB)
Deep Learning Based Retrieval of Forest Aboveground Biomass from Combined LiDAR and Landsat 8 Data
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 12
作者:
Zhang, Linjing
;
Shao, Zhenfeng
;
Liu, Jianchen
;
Cheng, Qimin
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/11
LiDAR
Landsat 8 OLI
combined optical and LiDAR indices
synergy
Stacked Sparse Autoencoder network (SSAE)
forest aboveground biomass
(AGB)
Active Transfer Learning Network: A Unified Deep Joint Spectral-Spatial Feature Learning Model for Hyperspectral Image Classification
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 页码: 1741-1754
作者:
Deng, Cheng
;
Xue, Yumeng
;
Liu, Xianglong
;
Li, Chao
;
Tao, Dacheng
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2019/12/30
Active learning (AL)
deep learning
hyperspectral image (HSI) classification
multiple-feature representation
stacked sparse autoencoder (SSAE)
transfer learning (TL)
Stacked Sparse Autoencoder Modeling Using the Synergy of Airborne LiDAR and Satellite Optical and SAR Data to Map Forest Above-Ground Biomass
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2017, 卷号: 10, 期号: 12
作者:
Shao, Zhenfeng
;
Zhang, Linjing
;
Wang, Lei
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/05
Biomass
deep learning (DL)
Landsat 8
light detection and ranging (LiDAR)
stacked sparse autoencoder network (SSAE)
Sentinel-1A
Assessment of PD severity in gas-insulated switchgear with an SSAE
期刊论文
IET SCIENCE MEASUREMENT & TECHNOLOGY, 2017, 卷号: 11, 期号: 4
作者:
Tang, Ju
;
Jin, Miao
;
Zeng, Fuping
;
Zhang, Xiaoxing
;
Huang, Rui
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/05
partial discharge measurement
gas insulated switchgear
statistical analysis
neural nets
learning (artificial intelligence)
encoding
feature extraction
computerised instrumentation
PD severity assessment
gas-insulated switchgear
SSAE
partial discharge severity assessment
discharge time
discharge amplitude
deep-learning neural network model
stacked sparse autoencoder
feature extraction
soft-max classifier
unsupervised greedy layer-wise pre-training method
supervised fine-tuning method
support vector machine algorithm
Unsupervised Spectral-Spatial Feature Learning With Stacked Sparse Autoencoder for Hyperspectral Imagery Classification
期刊论文
IEEE Geoscience and Remote Sensing Letters, 2015, 卷号: 12, 期号: 12, 页码: 2438-2442
作者:
Tao, Chao*
;
Pan, Hongbo
;
Li, Yansheng
;
Zou, Zhengrou
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/03
Hyperspectral imagery (HSI) classification
linear support vector machine
spectral-spatial feature learning
stacked sparse autoencoder (SSAE)
Unsupervised Spectral-Spatial Feature Learning With Stacked Sparse Autoencoder for Hyperspectral Imagery Classification
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2015, 卷号: 12, 期号: 12
作者:
Tao, Chao
;
Pan, Hongbo
;
Li, Yansheng
;
Zou, Zhengrou
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/05
Hyperspectral imagery (HSI) classification
linear support vector machine
spectral-spatial feature learning
stacked sparse autoencoder (SSAE)
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