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... [29]
西安光学精密机械研究... [5]
计算技术研究所 [4]
长春光学精密机械与物... [3]
自动化研究所 [3]
成都山地灾害与环境研... [1]
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OAI收割 [50]
内容类型
期刊论文 [38]
SCI/SSCI论文 [7]
会议论文 [4]
专著章节文集论文 [1]
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2024 [2]
2023 [4]
2022 [2]
2021 [5]
2020 [6]
2019 [3]
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Multidisci... [1]
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Utilizing machine learning algorithm for finely three-dimensional delineation of soil-groundwater contamination in a typical industrial park, North China: Importance of multisource auxiliary data
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2024, 卷号: 911, 页码: 168598
作者:
Liu, Siyan
;
Yang, Xiao
;
Shi, Biling
;
Liu, Zhaoshu
;
Yan, Xiulan
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2024/01/04
Industrial site contamination
Three-dimensional spatial analysis
Hydrogeological features
Integrated modeling
Back propagation neural network algorithm
A Novel Approach to Mapping the Spatial Distribution of Fruit Trees Using Phenological Characteristics
期刊论文
OAI收割
AGRONOMY-BASEL, 2024, 卷号: 14, 期号: 1, 页码: 23
作者:
Han, Liusheng
;
Wang, Xiangyu
;
Li, Dan
;
Yu, Wenjie
;
Feng, Zhaohui
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2024/03/01
growth stage features
decision tree
fruit tree species
spatial mapping
synthetic aperture radar (SAR)
Impact of Deep Convolutional Neural Network Structure on Photovoltaic Array Extraction from High Spatial Resolution Remote Sensing Images
期刊论文
OAI收割
REMOTE SENSING, 2023, 卷号: 15, 期号: 18, 页码: 16
作者:
Li, Liang
;
Lu, Ning
;
Jiang, Hou
;
Qin, Jun
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2023/10/23
high spatial resolution remote sensing images
photovoltaic array extraction
deep convolutional neural networks
low- and high-level features
Impact of Deep Convolutional Neural Network Structure on Photovoltaic Array Extraction from High Spatial Resolution Remote Sensing Images
期刊论文
OAI收割
REMOTE SENSING, 2023, 卷号: 15, 期号: 18, 页码: 16
作者:
Li, Liang
;
Lu, Ning
;
Jiang, Hou
;
Qin, Jun
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2023/10/23
high spatial resolution remote sensing images
photovoltaic array extraction
deep convolutional neural networks
low- and high-level features
BiTCAN: A emotion recognition network based on saliency in brain
期刊论文
OAI收割
MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2023, 卷号: 20, 期号: 12, 页码: 21537-21562
作者:
An, Yanling
;
Hu, Shaohai
;
Liu, Shuaiqi
;
Li, Bing
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2024/03/26
EEG
emotion recognition
spatio-temporal features
Bi-hemispheric discrepancy
spatial attention
attention mechanism
Sanxingdui Cultural Relics Recognition Algorithm Based on Hyperspectral Multi-Network Fusion
期刊论文
OAI收割
CMC-COMPUTERS MATERIALS & CONTINUA, 2023, 卷号: 77, 期号: 3, 页码: 3783-3800
作者:
Qiu, Shi
;
Zhang, Pengchang
;
Tang, Xingjia
;
Zeng, Zimu
;
Zhang, Miao
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2024/03/26
Sanxingdui
cultural relic
spatial features
hyperspectral
integration
A wearable-HAR oriented sensory data generation method based on spatio-temporal reinforced conditional GANs
期刊论文
OAI收割
NEUROCOMPUTING, 2022, 卷号: 493, 页码: 548-567
作者:
Wang, Jiwei
;
Chen, Yiqiang
;
Gu, Yang
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2022/12/07
Conditional SensoryGANs
Spatial-temporal features
Wearable-HAR
Log-cosh based adversarial loss
Cosine similarity
Qualitative visual evaluations
Quantitative evaluations
A Spatial-Spectral Joint Attention Network for Change Detection in Multispectral Imagery
期刊论文
OAI收割
REMOTE SENSING, 2022, 卷号: 14, 期号: 14
作者:
Zhang, Wuxia
;
Zhang, Qinyu
;
Liu, Shuo
;
Pan, Xiaoying
;
Lu, Xiaoqiang
  |  
收藏
  |  
浏览/下载:79/0
  |  
提交时间:2022/08/31
change detection
attention mechanism
spatial-spectral features
multispectral imagery
Time-Spatial Features of Mix El Nino
期刊论文
OAI收割
ATMOSPHERE, 2021, 卷号: 12, 期号: 4, 页码: 16
作者:
Zhang, Zhiyuan
;
Li, Gen
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2021/05/21
mix El Niñ
o
Eastern Pacific El Niñ
o
Central Pacific El Niñ
o
El Niñ
o diversity
time-spatial features
Mapping Forest Types in China with 10 m Resolution Based on Spectral-Spatial-Temporal Features
期刊论文
OAI收割
REMOTE SENSING, 2021, 卷号: 13, 期号: 5, 页码: 21
作者:
Cheng, Kai
;
Wang, Juanle
;
Yan, Xinrong
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2021/06/10
forest type
spectral–
spatial–
temporal features
image composition
random forest algorithm
China