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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
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High spatial resolution GLASS FAPAR (version 2) product from Landsat imagery: Algorithm development using a knowledge transfer strategy
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2026, 卷号: 146, 页码: 15
作者:
Qiao, Yuting
;
Jin, Huaan
;
He, Tao
;
Liang, Shunlin
;
Tian, Feng
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2026/02/06
High spatial resolution
FAPAR
Deep learning
Transfer learning
Landsat
Jet reorientation revealed by intermittent jet activity in radio galaxy 0954+556
期刊论文
OAI收割
ASTRONOMY & ASTROPHYSICS, 2026, 卷号: 705, 页码: A85
作者:
Zeng, Ai-Ling
;
Zhao, Wei
;
Yang, Jun
;
Hu, Xu-Zhi
;
Deng, Furen
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2026/03/17
instrumentation: high angular resolution
techniques: interferometric
galaxies: active
galaxies: jets
CNSIF: A reconstructed monthly 500-meter spatial resolution solar-induced chlorophyll fluorescence dataset in China
期刊论文
OAI收割
AGRICULTURAL AND FOREST METEOROLOGY, 2025, 卷号: 375, 页码: 110869
作者:
Du, Kaiqi
;
Xiao, Guilong
;
Huang, Jianxi
;
Jing, Xia
;
Kang, Xiaoyan
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2025/11/17
Solar-induced chlorophyll fluorescence
Deep learning
High-resolution
Vegetation dynamics
Heterogeneous ecosystems
A New and Improved YOLO Model for Individual Litchi Crown Detection with High-Resolution Satellite RGB Images
期刊论文
OAI收割
AGRONOMY-BASEL, 2025, 卷号: 15, 期号: 10, 页码: 2439
作者:
Xia, Tianshun
;
Chen, Pengfei
;
Liu, Xiaoke
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2025/12/19
improved YOLO model
litchi
individual tree crown detection
high-resolution satellite image
Direct numerical simulation of inflow boundary-layer turbulence effects on cavity flame stabilisation in a model scramjet combustor
期刊论文
OAI收割
AEROSPACE SCIENCE AND TECHNOLOGY, 2025, 卷号: 165, 页码: 15
作者:
Lin, Minqi
;
Fang J(方剑)
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2025/08/18
Cavity-stabilised flame
Premixed combustion
High-resolution numerical simulation
Supersonic combustion
Wall-bounded turbulence
GreenNet: A dual-encoder network for urban green space classification using high-resolution remotely sensed images
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2025, 卷号: 142, 页码: 104709
作者:
Chen, Ke
;
Wang, Yang
;
Huang, Cunrui
;
Wang, Jing
;
Li, Sabrina L.
  |  
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2025/08/21
Green space classification
High-resolution satellite images
Dual-encoder structure
Transformer
Boundary loss
High Numerical-Aperture Solarization-Resistant Silica-Glass Air-Cladding Fiber Bundle for the Ultraviolet Imaging
期刊论文
OAI收割
IEEE PHOTONICS JOURNAL, 2025, 卷号: 17, 期号: 3, 页码: 5
作者:
Xu, Bingsheng
;
Shen, Chaochao
;
Shen, Henan
;
Zang, Yirui
;
Wang, Yanchi
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2025/08/18
Imaging
Image resolution
Silicon dioxide
Glass
Optical fiber sensors
Radiation effects
Bending
Optical fiber amplifiers
Fluorescence
Wavelength measurement
Fiber bundle
UV Imaging
high numerical aperture
photodarkening
solarization
Impact of High Temporal Resolution Data on Water Quality Modeling: Insights from Erhai Case Study
期刊论文
OAI收割
PROCESSES, 2025, 卷号: 13, 期号: 6, 页码: 22
作者:
Shi, Xiaomeng
;
Li, Yu
;
Yao B(姚波)
;
Wang, Shengrui
;
Ni, Shouqing
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2025/08/18
high-frequency monitoring
water quality prediction
temporal resolution sensitivity
machine learning
wavelet analysis
A Sentinel-1 SAR-based global 1-km resolution soil moisture data product: Algorithm and preliminary assessment
期刊论文
OAI收割
REMOTE SENSING OF ENVIRONMENT, 2025, 卷号: 318, 页码: 114579
作者:
Fan, Dong
;
Zhao, Tianjie
;
Jiang, Xiaoguang
;
Garcia-Garcia, Almudena
;
Schmidt, Toni
  |  
收藏
  |  
浏览/下载:55/0
  |  
提交时间:2025/03/18
Soil moisture
SAR
Microwave
Sentinel-1
High resolution
ACWCD: Utilizing Inherent Transformers Information and Prior Knowledge for Weakly Supervised Change Detection
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 卷号: 63, 页码: 4402614
作者:
Liu, Wenhao
;
Yu, Zhuoyuan
;
Luo, Bin
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2025/03/18
Cams
Transformers
Feature extraction
Neural networks
Training
Data mining
Remote sensing
Refining
Deep learning
Decoding
Change detection (CD)
class activation maps (CAMs)
deep learning
high-resolution images
multihead self-attention (MHSA)
prior knowledge
transformers
weakly supervised learning