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科研机构
地理科学与资源研究所 [8]
山东大学 [8]
自动化研究所 [7]
武汉大学 [6]
北京航空航天大学 [5]
地质与地球物理研究所 [5]
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期刊论文 [58]
会议论文 [9]
发表日期
2019 [67]
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Quantitative Evaluations and Error Source Analysis of Fengyun-2-Based and GPM-Based Precipitation Products over Mainland China in Summer, 2018
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 24, 页码: 21
作者:
Xu, Jintao
;
Ma, Ziqiang
;
Tang, Guoqiang
;
Ji, Qingwen
;
Min, Xiaoxiao
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2020/05/19
precipitation
evaluation
error analysis
Fengyun
quantitative precipitation estimates
GPM
IMERG
Landslide Detection of Hyperspectral Remote Sensing Data Based on Deep Learning With Constrains
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 期号: 12, 页码: 5047-5060
作者:
Ye, Chengming
;
Li, Yao
;
Cui, Peng
;
Liang, Li
;
Pirasteh, Saeid
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2020/04/02
Terrain factors
Feature extraction
Hyperspectral imaging
Deep learning
Support vector machines
Deep belief network (DBN)
deep learning
feature extraction
hyperspectral data
landslide
Data Fusion and Accuracy Analysis of Multi-Source Land Use/Land Cover Datasets along Coastal Areas of the Maritime Silk Road
期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 卷号: 8, 期号: 12, 页码: 20
作者:
Hou, Wan
;
Hou, Xiyong
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2021/06/22
remote sensing
land use
land cover
data fusion
agreement analysis
fuzzy-set theory
accuracy analysis
the coastal areas of the Maritime Silk Road
Using Multi-Sensor Satellite Images and Auxiliary Data in Updating and Assessing the Accuracies of Urban Land Products in Different Landscape Patterns
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 22, 页码: 19
作者:
Yang, Fengshuo
;
Wang, Zhihua
;
Yang, Xiaomei
;
Liu, Yueming
;
Liu, Bin
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  |  
浏览/下载:8/0
  |  
提交时间:2020/05/19
urban land product updating
accuracy assessment
GlobeLand30
Global Urban Footprint
Global Human Settlement Layer
Landsat Operational Land Imager
Phased Array type L-band Synthetic Aperture Radar
Research on subject profile of stem cell based on knowledge graph
会议论文
Atlanta,USA, 2019.10.17
作者:
Hu ZY(胡正银)
;
Zhang ZQ(张志强)
;
Yang N(杨宁)
;
Tan XC(覃筱楚)
收藏
  |  
浏览/下载:60/0
  |  
提交时间:2019/10/31
Split Multiplicative Multi-View Subspace Clustering
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 10, 页码: 5147-5160
作者:
Yang, Zhiyong
;
Xu, Qianqian
;
Zhang, Weigang
;
Cao, Xiaochun
;
Huang, Qingming
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  |  
浏览/下载:78/0
  |  
提交时间:2019/12/10
Computational and artificial intelligence
artificial intelligence
learning systems
unsupervised learning and computers and information processing
image processing
image representation
A Hybrid Framework for High-Performance Modeling of Three-Dimensional Pipe Networks
期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 卷号: 8, 期号: 10, 页码: 17
作者:
Wang, Shaohua
;
Sun, Yeran
;
Sun, Yinle
;
Guan, Yong
;
Feng, Zhenhua
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  |  
浏览/下载:7/0
  |  
提交时间:2020/05/19
three-dimensional (3D) pipe network
building information models (BIM)
spatial 3D model (S3M)
parallel computing
SuperMap GIS
Deep Multi-Modality Adversarial Networks for Unsupervised Domain Adaptation
期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 9, 页码: 2419-2431
作者:
Ma, Xinhong
;
Zhang, Tianzhu
;
Xu, Changsheng
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  |  
浏览/下载:50/0
  |  
提交时间:2019/12/16
Unsupervised domain adaptation
triplet loss
stacked attention
multi-modality
social event recognition
Multi-wavelength light absorption of black and brown carbon at a high-altitude site on the Southeastern margin of the Tibetan Plateau, China
期刊论文
ATMOSPHERIC ENVIRONMENT, 2019, 卷号: 212, 页码: 54-64
作者:
Zhao, Zhuzi
;
Cao, Junji
;
Chow, Judith C.
;
Watson, John G.
;
Chen, Antony L-W
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2020/06/05
Aerosol light absorption
Dust
Black carbon
brown carbon
Climate
Tibetan plateau
From Manual to Intelligent: A Review of Input Data Preparation Methods for Geographic Modeling
期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 卷号: 8, 期号: 9, 页码: 16
作者:
Hou, Zhi-Wei
;
Qin, Cheng-Zhi
;
Zhu, A-Xing
;
Liang, Peng
;
Wang, Yi-Jie
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2020/05/19
geographic modeling
input data preparation
intelligent geoprocessing
service composition
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