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期刊论文 [13]
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学科主题:Remote Sensing
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A Framework for Land Use Scenes Classification Based on Landscape Photos
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 卷号: 13, 页码: 6124-6141
作者:
Xu, Shiwu
;
Zhang, Shihui
;
Zeng, Jue
;
Li, Tingyu
;
Guo, Qinghua
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2022/03/01
Semantics
Remote sensing
Image analysis
Image segmentation
Object recognition
Machine learning
Forestry
Deep convolutional neural networks (DCNNs)
landscape photos
land survey
land use scene classification
Mapping the Global Mangrove Forest Aboveground Biomass Using Multisource Remote Sensing Data
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 10
作者:
Hu, Tianyu
;
Zhang, YingYing
;
Su, Yanjun
;
Zheng, Yi
;
Lin, Guanghui
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/03/01
mangrove
LiDAR
random forest
GLAS
aboveground biomass
Dynamic Synthetic Minority Over-Sampling Technique-Based Rotation Forest for the Classification of Imbalanced Hyperspectral Data
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 期号: 7, 页码: 2159-2169
作者:
Feng, Wei
;
Dauphin, Gabriel
;
Huang, Wenjiang
;
Quan, Yinghui
;
Bao, Wenxing
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2020/06/16
ENSEMBLES
SELECTION
SMOTE
Dynamic Synthetic Minority Over-Sampling Technique-Based Rotation Forest for the Classification of Imbalanced Hyperspectral Data
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 期号: 7, 页码: 2159-2169
作者:
Feng, Wei
;
Dauphin, Gabriel
;
Huang, Wenjiang
;
Quan, Yinghui
;
Bao, Wenxing
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2020/11/26
ENSEMBLES
SELECTION
SMOTE
Dynamic Synthetic Minority Over-Sampling Technique-Based Rotation Forest for the Classification of Imbalanced Hyperspectral Data
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 期号: 7, 页码: 2159-2169
作者:
Feng, Wei
;
Dauphin, Gabriel
;
Huang, Wenjiang
;
Quan, Yinghui
;
Bao, Wenxing
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2020/11/26
ENSEMBLES
SELECTION
SMOTE
Efficiency of Extreme Gradient Boosting for Imbalanced Land Cover Classification Using an Extended Margin and Disagreement Performance
期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 卷号: 8, 期号: 7
作者:
Sun, Fei
;
Wang, Run
;
Wan, Bo
;
Su, Yanjun
;
Guo, Qinghua
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2022/01/06
gradient boosting trees
margin
class imbalance
very-high resolution (VHR) remote sensing
land cover classification
disagreement performance
Artificial Mangrove Species Mapping Using Pleiades-1: An Evaluation of Pixel-Based and Object-Based Classifications with Selected Machine Learning Algorithms
期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 2
作者:
Wang, Dezhi
;
Wan, Bo
;
Qiu, Penghua
;
Su, Yanjun
;
Guo, Qinghua
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2022/02/25
artificial mangrove
object-based
pixel-based
decision tree
random forest
support vector machine
Land use and land cover change in Inner Mongolia - understanding the effects of China's re-vegetation programs
期刊论文
REMOTE SENSING OF ENVIRONMENT, 2018, 卷号: 204, 页码: 918-930
作者:
Yin, He
;
Pflugmacher, Dirk
;
Li, Ang
;
Li, Zhengguo
;
Hostert, Patrick
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/02/25
Land use and land cover change
Deforestation
Afforestation
Cropland retirement
MODIS time series
Trajectory-based approach
Inner Mongolia
Machine learning
Random forest
Probability scores
An Ensemble of Classifiers Based on Positive and Unlabeled Data in One-Class Remote Sensing Classification
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2018, 卷号: 11, 期号: 2, 页码: 572-584
作者:
Liu, Ran
;
Li, Wenkai
;
Liu, Xiaoping
;
Lu, Xingcheng
;
Li, Tianhong
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2022/02/25
Classifier ensemble
one-class classification
positive and unlabeled learning (PUL)
weighted average
weighted vote
Sea ice type classification based on random forest machine learning with Cryosat-2 altimeter data
期刊论文
2017 INTERNATIONAL WORKSHOP ON REMOTE SENSING WITH INTELLIGENT PROCESSING (RSIP 2017), 2017
作者:
Shen, XY
;
Zhang, J
;
Meng, JM
;
Zhang, J
;
Ke, CQ
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2018/12/07
sea ice type
classification
random forest
Cryosat-2
waveform
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