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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究... [11]
新疆生态与地理研究所 [2]
武汉岩土力学研究所 [2]
计算技术研究所 [1]
长春光学精密机械与物... [1]
遥感与数字地球研究所 [1]
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OAI收割 [19]
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期刊论文 [14]
会议论文 [3]
中文期刊论文 [1]
学位论文 [1]
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2025 [1]
2023 [1]
2022 [3]
2021 [4]
2019 [2]
2018 [3]
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Geology [2]
Environmen... [1]
Imaging Sc... [1]
Remote Sen... [1]
地图学与地理信息系统 [1]
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MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction
期刊论文
OAI收割
INFORMATION FUSION, 2025, 卷号: 113, 页码: 15
作者:
Yu, Chengqing
;
Wang, Fei
;
Wang, Yilun
;
Shao, Zezhi
;
Sun, Tao
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/12/06
Air quality prediction
Multi-Granularity Spatiotemporal Fusion
Transformer
Spatiotemporal correlation
Multi-source information fusion
A New Method for Crop Type Mapping at the Regional Scale Using Multi-Source and Multi-Temporal Sentinel Imagery
期刊论文
OAI收割
REMOTE SENSING, 2023, 卷号: 15, 期号: 9, 页码: 2466
作者:
Wang, Xiaohu
;
Fang, Shifeng
;
Yang, Yichen
;
Du, Jiaqiang
;
Wu, Hua
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2023/06/10
crop type mapping
the regional scale
multi-source
multi-temporal
time-series
information entropy
GEE
RF
Collaborative Extraction of Paddy Planting Areas with Multi-Source Information Based on Google Earth Engine: A Case Study of Cambodia
期刊论文
OAI收割
REMOTE SENSING, 2022, 卷号: 14, 期号: 8, 页码: 20
作者:
Kang, Junmei
;
Yang, Xiaomei
;
Wang, Zhihua
;
Huang, Chong
;
Wang, Jun
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2022/09/21
GEE
multi-source information
paddy extraction
Sentinel-1
2
Cambodia
Collaborative Extraction of Paddy Planting Areas with Multi-Source Information Based on Google Earth Engine: A Case Study of Cambodia
期刊论文
OAI收割
REMOTE SENSING, 2022, 卷号: 14, 期号: 8, 页码: 20
作者:
Kang, Junmei
;
Yang, Xiaomei
;
Wang, Zhihua
;
Huang, Chong
;
Wang, Jun
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2022/09/21
GEE
multi-source information
paddy extraction
Sentinel-1
2
Cambodia
Multi-Source Information Fusion Correlation Analysis of Bedrock Deterioration on Slopes Under Leaching Erosion
期刊论文
OAI收割
FRONTIERS IN EARTH SCIENCE, 2022, 卷号: 10
作者:
Zhong, Wen
;
Feng, Zhiqi
;
Li, Bo
;
Zhang, Zequn
;
Zeng, Peng
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2023/08/02
ion-absorbed rare earth mine slopes
bedrock
leaching erosion
deterioration
multi-source information fusion
A Method for Identifying Geospatial Data Sharing Websites by Combining Multi-Source Semantic Information and Machine Learning
期刊论文
OAI收割
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 18, 页码: 19
作者:
Cheng, Quanying
;
Zhu, Yunqiang
;
Zeng, Hongyun
;
Song, Jia
;
Wang, Shu
  |  
收藏
  |  
浏览/下载:59/0
  |  
提交时间:2021/11/05
geospatial data sharing website
multi-source semantic information
website classification
natural language processing technology
machine learning
A Method for Identifying Geospatial Data Sharing Websites by Combining Multi-Source Semantic Information and Machine Learning
期刊论文
OAI收割
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 18, 页码: 19
作者:
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2021/11/05
geospatial data sharing website
multi-source semantic information
website classification
natural language processing technology
machine learning
Fusion and Correction of Multi-Source Land Cover Products Based on Spatial Detection and Uncertainty Reasoning Methods in Central Asia
期刊论文
OAI收割
REMOTE SENSING, 2021, 卷号: 13, 期号: 2, 页码: 23
作者:
Liu, Keling
;
Xu, Erqi
  |  
收藏
  |  
浏览/下载:46/0
  |  
提交时间:2021/03/15
landcover
spatial consistency
improved Dempster-Shafer evidence theory
statistics
multi-source information fusion
Fusion and Correction of Multi-Source Land Cover Products Based on Spatial Detection and Uncertainty Reasoning Methods in Central Asia
期刊论文
OAI收割
REMOTE SENSING, 2021, 卷号: 13, 期号: 2, 页码: 23
作者:
Liu, Keling
;
Xu, Erqi
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2021/03/15
landcover
spatial consistency
improved Dempster-Shafer evidence theory
statistics
multi-source information fusion
城市空间格局多源遥感协同提取与特征分析
学位论文
OAI收割
北京: 中国科学院大学, 2019
作者:
李治
  |  
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2021/12/10
高空间分辨率遥感
多源空间信息协同
多特征提取
城市空间格局分析
High-spatial-resolution Remote Sensing
Multi-source Spatial Information Collaboration
Multi-feature Extraction
Urban Spatial Pattern Analysis