中国科学院机构知识库网格
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... [23]
自动化研究所 [6]
新疆生态与地理研究所 [5]
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遥感与数字地球研究所 [4]
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OAI收割 [48]
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期刊论文 [29]
会议论文 [13]
SCI/SSCI论文 [5]
学位论文 [1]
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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:7/0
  |  
提交时间:2023/06/10
crop type mapping
the regional scale
multi-source
multi-temporal
time-series
information entropy
GEE
RF
Origin of the efficiency of spike timing-based neural computation for processing temporal information
期刊论文
OAI收割
NEURAL NETWORKS, 2023, 卷号: 160, 页码: 84-96
作者:
Jiang, Zhiwei
;
Xu, Jiaming
;
Zhang, Tielin
;
Poo, Mu-ming
;
Xu, Bo
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/03/20
Postsynaptic potential
Spiking neural network
Sequence learning
Temporal information processing
HANDOM: Heterogeneous Attention Network Model for Malicious Domain Detection
期刊论文
OAI收割
COMPUTERS & SECURITY, 2023, 卷号: 125, 页码: 14
作者:
Wang, Qing
;
Dong, Cong
;
Jian, Shijie
;
Du, Dan
;
Lu, Zhigang
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/07/12
Malware domain detection
Spatial -Temporal contextual correlation
Heterogeneous attention network
Statistical -and -Structural information
STAM: A SpatioTemporal Attention Based Memory for Video Prediction
期刊论文
OAI收割
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 2354-2367
作者:
Chang, Zheng
;
Zhang, Xinfeng
;
Wang, Shanshe
;
Ma, Siwei
;
Gao, Wen
  |  
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/12/04
Global spatiotemporal information
spatio temporal receptive field
3D convolutional neural network
spatiotemporal attention
sequence learning
video prediction
Modeling learnable electrical synapse for high precision spatio-temporal recognition
期刊论文
OAI收割
NEURAL NETWORKS, 2022, 卷号: 149, 页码: 184-194
作者:
Wu, Zhenzhi
;
Zhang, Zhihong
;
Gao, Huanhuan
;
Qin, Jun
;
Zhao, Rongzhen
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/07/25
Electrical synapse
coupling
Leaky-integrate-and-fire model
Spatio-temporal information
Bio-plausible neuronal dynamics
The Forest Change Footprint of the Upper Indus Valley, from 1990 to 2020
期刊论文
OAI收割
REMOTE SENSING, 2022, 卷号: 14, 期号: 3, 页码: 19
作者:
Yan, Xinrong
;
Wang, Juanle
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2022/09/21
forest disturbance
forest recovery
footprint information
LandTrendr spectral-temporal segmentation algorithm
upper Indus Valley
The Forest Change Footprint of the Upper Indus Valley, from 1990 to 2020
期刊论文
OAI收割
REMOTE SENSING, 2022, 卷号: 14, 期号: 3, 页码: 19
作者:
Yan, Xinrong
;
Wang, Juanle
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2022/09/21
forest disturbance
forest recovery
footprint information
LandTrendr spectral-temporal segmentation algorithm
upper Indus Valley
Regulatory effect of improving environmental information disclosure under environmental tax in China: From the perspectives of temporal and industrial heterogeneity
期刊论文
OAI收割
ENERGY POLICY, 2022, 卷号: 164
作者:
Zhang, Jinzhu
;
Liu, Yu
;
Zhou, Meifang
;
Chen, Boyang
;
Liu, Yawen
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/05/30
Environmental information disclosure (EID)
Environmental tax
Regulatory effect
Temporal heterogeneity
Industrial heterogeneity
CGE model
Motion Feature Aggregation for Video-Based Person Re-Identification
期刊论文
OAI收割
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 3908-3919
作者:
Gu, Xinqian
;
Chang, Hong
;
Ma, Bingpeng
;
Shan, Shiguang
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2022/12/07
Feature extraction
Optical imaging
Computational modeling
Spatiotemporal phenomena
Data mining
Training
Tracking
Video-based person re-identification
temporal information modeling
motion feature extraction
High-accuracy continuous mapping of surface water dynamics using automatic update of training samples and temporal consistency modification based on Google Earth Engine: A case study from Huizhou, China
期刊论文
OAI收割
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2021, 卷号: 179, 页码: 66-80
作者:
Li, Kewei
;
Xu, Erqi
  |  
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2021/11/05
Surface water
Time series
Auto-updating of training samples
Temporal consistency detection
Change monitoring
Intra-annual information