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
数学与系统科学研究... [12]
地理科学与资源研究所 [8]
自动化研究所 [5]
遥感与数字地球研究所 [3]
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OAI收割 [40]
iSwitch采集 [1]
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期刊论文 [31]
会议论文 [5]
学位论文 [3]
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2023 [2]
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Biochemist... [1]
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Conversion of satellite passive microwave signals to land surface "skin" temperature for extremely dry deserts
期刊论文
OAI收割
REMOTE SENSING OF ENVIRONMENT, 2023, 卷号: 299, 页码: 19
作者:
Song, Peilin
;
Zhao, Tianjie
;
Zhang, Yongqiang
;
He, Qingying
  |  
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2023/12/22
Passive microwave (PMW)
Land surface temperature (LST)
Desert area
Thermal infrared (TIR)
Resampling depth
Conversion of satellite passive microwave signals to land surface skin temperature for extremely dry deserts
期刊论文
OAI收割
REMOTE SENSING OF ENVIRONMENT, 2023, 卷号: 299, 页码: 113857
作者:
Song, Peilin
;
Zhao, Tianjie
;
Zhang, Yongqiang
;
He, Qingying
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2024/01/04
Passive microwave (PMW)
Land surface temperature (LST)
Desert area
Thermal infrared (TIR)
Resampling depth
Dim and Small Target Tracking Using an Improved Particle Filter Based on Adaptive Feature Fusion
期刊论文
OAI收割
ELECTRONICS, 2022, 卷号: 11, 期号: 15
作者:
Huo, Youhui
;
Chen, Yaohong
;
Zhang, Hongbo
;
Zhang, Haifeng
;
Wang, Hao
  |  
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2022/09/28
dim and small target
target tracking
feature fusion
particle filter
resampling method
西北太平洋热带气旋的全路径随机模型与模拟研究
学位论文
OAI收割
中国科学院烟台海岸带研究所: 中国科学院烟台海岸带研究所, 2022
作者:
郑倩
  |  
收藏
  |  
浏览/下载:38/0
  |  
提交时间:2022/06/29
西北太平洋
热带气旋
全路径模型
重采样
回归模型
Northwest Pacific
Tropical cyclone
Full track model
Resampling method
Regression model
Climate Change Dominated Long-Term Soil Carbon Losses of Inner Mongolian Grasslands
期刊论文
OAI收割
GLOBAL BIOGEOCHEMICAL CYCLES, 2020, 卷号: 34, 期号: 10, 页码: 16
作者:
Xin, Xiaoping
;
Jin, Dongyan
;
Ge, Yong
;
Wang, Jianghao
;
Chen, Jiquan
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2021/03/16
soil organic carbon
resampling
climatic change
livestock grazing
temperate steppe
Inner Mongolia Plateau
An underwater mining navigation method based on an improved particle filter
期刊论文
OAI收割
中国科学院大学学报, 2020, 卷号: 37, 期号: 4, 页码: 507-515
作者:
Zhang ZH(张志慧)
;
Feng YB(冯迎宾)
;
Li ZG(李智刚)
;
Zhao XH(赵小虎)
;
Zhang ZH(张志慧)
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2020/07/11
particle filter ( PF)
resampling
underwater mining navigation
particle degeneration
particle impoverishment
Robust correlation filter tracking with deep semantic supervision
期刊论文
OAI收割
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 5, 页码: 754-760
作者:
Wang, Wei
;
Chen, Zhaoming
;
Douadji, Lyes
;
Shi, Mingquan
  |  
收藏
  |  
浏览/下载:93/0
  |  
提交时间:2019/06/24
particle filtering (numerical methods)
learning (artificial intelligence)
target tracking
convolutional neural nets
robust correlation filter tracking
high tracking performance
tracking failure
deep semantic supervision tracking framework
redetection tracking mechanism
particle filtering resampling
CF tracker
deep convolutional neural network
tracking frames
target occlusion
handcrafted features
real-time performance
OTB2013 benchmark datasets
OTB2015 benchmark datasets
Re-KISSME: A robust resampling scheme for distance metric learning in the presence of label noise
期刊论文
OAI收割
NEUROCOMPUTING, 2019, 卷号: 330, 页码: 138-150
作者:
Zeng, Fanxia
;
Zhang, Wensheng
;
Zhang, Siheng
;
Zheng, Nan
  |  
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2019/07/12
Resampling scheme
KISSME
Distance metric learning
Label noise
Uncertainty and its propagation estimation for an integrated water system model: An experiment from water quantity to quality simulations
期刊论文
OAI收割
JOURNAL OF HYDROLOGY, 2018, 卷号: 565, 页码: 623-635
作者:
Zhang, Yongyong
;
Shao, Quanxi
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2019/05/23
Uncertainty propagation
Model performance
Bootstrap resampling
SCE-UA auto-calibration
HEQM
Lithium-Ion Cell Screening With Convolutional Neural Networks Based on Two-Step Time-Series Clustering and Hybrid Resampling for Imbalanced Data
期刊论文
OAI收割
IEEE ACCESS, 2018, 期号: 6, 页码: 59001 - 59014
作者:
Chengbao,Liu
;
Jie, Tan
;
Heyuan,Shi
;
Xuelei,Wang
  |  
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2019/04/30
Lithium-ion Cell Screening
Time-series Clustering
Resampling
Convolutional Neural Networks