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地理科学与资源研究所 [3]
遥感与数字地球研究所 [2]
大连理工大学 [1]
武汉大学 [1]
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期刊论文 [8]
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A self-training semi-supervised machine learning method for predictive mapping of soil classes with limited sample data
期刊论文
GEODERMA, 2021, 卷号: 384, 页码: 10
作者:
Zhang, Lei
;
Yang, Lin
;
Ma, Tianwu
;
Shen, Feixue
;
Cai, Yanyan
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浏览/下载:28/0
  |  
提交时间:2021/03/15
Digital soil sampling
Machine learning
Semi-supervised learning
Self-training
Predictive mapping
Comparison of conditioned Latin hypercube and feature space coverage sampling for predicting soil classes using simulation from soil maps
期刊论文
GEODERMA, 2020, 卷号: 370, 页码: 11
作者:
Ma, Tianwu
;
Brus, Dick J.
;
Zhu, A-Xing
;
Zhang, Lei
;
Scholten, Thomas
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  |  
浏览/下载:12/0
  |  
提交时间:2021/03/23
Soil sampling
Random forest
Similarity-based predictive soil mapping
K-means
Simulated annealing
Calibration sampling
Using MLR to model the vertical error distribution of ASTER GDEM V2 data based on ICESat/GLA14 data in the Loess Plateau of China
期刊论文
ZEITSCHRIFT FUR GEOMORPHOLOGIE, 2017, 卷号: 61, 页码: 9-26
作者:
Zhao, Shangmin
;
Cheng, Weiming
;
Zhou, Chenghu
;
Liu, Haijiang
;
Su, Qiaomei
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  |  
浏览/下载:85/0
  |  
提交时间:2019/05/30
vertical error distribution
MLR model
ASTER GDEM V2
ICESat/GLA14
land surface factors
Action recognition by joint learning
期刊论文
image and vision computing, 2016, 卷号: 55, 页码: 77-85
作者:
Yuan, Yuan
;
Qi, Lei
;
Lu, Xiaoqiang
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  |  
浏览/下载:31/0
  |  
提交时间:2016/12/30
Computer vision
Action recognition
Sparse coding
Multinomial logistic regression (MLR)
Joint learning
Multiple Morphological Component Analysis Based Decomposition for Remote Sensing Image Classification
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2016, 卷号: 54, 期号: 5
作者:
Xu, Xiang
;
Li, Jun
;
Huang, Xin
;
Mura, Mauro Dalla
;
Plaza, Antonio
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  |  
浏览/下载:4/0
  |  
提交时间:2019/12/05
Decomposition
image separation
multinomial logistic regression (MLR)
multiple morphological component analysis (MMCA)
sparse representation
textural features
Graphics processing unit-accelerated computation of the Markov random fields and loopy belief propagation algorithms for hyperspectral image classification
期刊论文
JOURNAL OF APPLIED REMOTE SENSING, 2015, 卷号: 9, 页码: 739-745
作者:
Wu, Yuanfeng
;
Li, Jun
;
Gao, Lianru
;
Tan, Xuemin
;
Zhang, Bing
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  |  
浏览/下载:64/0
  |  
提交时间:2016/04/20
hyperspectral image classification
graphics processing units
Markov random fields
loopy belief propagation
spectral-spatial analysis
parallel computing
Subspace-Based Support Vector Machines for Hyperspectral Image Classification
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2015, 卷号: 12, 期号: 2
作者:
Gao, Lianru
;
Li, Jun
;
Khodadadzadeh, Mahdi
;
Plaza, Antonio
;
Zhang, Bing
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  |  
浏览/下载:17/0
  |  
提交时间:2016/04/20
Hyperspectral image classification
multinomial logistic regression (MLR)
subspace-based approaches
support vector machines (SVMs)
Hyperspectral image classification via contextual deep learning
期刊论文
EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, 2015, 卷号: 2015, 页码: -
作者:
Ma, Xiaorui
;
Geng, Jie
;
Wang, Hongyu
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  |  
浏览/下载:4/0
  |  
提交时间:2019/12/09
Hyperspectral image classification
Contextual deep learning
Multinomial logistic regression (MLR)
Supervised classification
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