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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [277]
计算技术研究所 [88]
地理科学与资源研究... [58]
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期刊论文 [611]
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学位论文 [6]
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2025 [11]
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浏览/检索结果:
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Deep Learning-Based Prediction of Multi-Species Leaf Pigment Content Using Hyperspectral Reflectance
期刊论文
OAI收割
REMOTE SENSING, 2025, 卷号: 17, 期号: 19, 页码: 3293
作者:
Wang, Ziyu
;
Xu, Duanyang
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2025/11/17
leaf pigment content
leaf reflectance
one-dimensional convolutional neural network
two-dimensional convolutional neural network
genetic algorithm
Runoff Forecast Model Integrating Time Series Decomposition and Deep Learning for the Short Term: A Case Study in the Weihe River Basin, China
期刊论文
OAI收割
WATER, 2025, 卷号: 17, 期号: 18, 页码: 2718
作者:
Ma, Ruijia
;
An, Qiang
;
Liu, Liu
;
Cheng, Yongming
;
Liu, Xingcai
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2025/11/17
runoff forecasting
Convolutional Long Short-Term Memory
Seasonal-Trend decomposition using Loess
Variational Mode Decomposition
segmented decomposition sampling
multi-input neural network
Determination of Fluorescent Dissolved Organic Matter Using Three-Dimensional Fluorescence Spectroscopy and Convolutional Neural Networks
期刊论文
OAI收割
JOURNAL OF APPLIED SPECTROSCOPY, 2025, 页码: 11
作者:
Yang, Jianlian
;
Feng, Weiwei
;
Cai, Zongqi
;
Wang, Huanqing
;
Liang, Xinghui
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2025/10/14
fluorescent dissolved organic matter
convolutional neural networks
excitation-emission matrix spectra
self-weighting alternating trilinear decomposition
quantification
Deep Learning With ERA5 Variables Accurately Simulates Near-Surface Wind Speed Variations Across a Complex Terrain Region
期刊论文
OAI收割
GEOPHYSICAL RESEARCH LETTERS, 2025, 卷号: 52, 期号: 12, 页码: e2025GL116108
作者:
Long, Zhiyi
;
Zha, Jinlin
;
Zhang, Hao
;
Chuan, Ting
;
Lu, Wenxi
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2025/07/18
wind speed
deep learning
complex terrain region
Tibetan Plateau
transformer
convolutional neural networks
Enhanced hyperspectral image classification for coastal wetlands using a hybrid CNN-transformer approach with cross-attention mechanism
期刊论文
OAI收割
FRONTIERS IN MARINE SCIENCE, 2025, 卷号: 12, 页码: 1613565
作者:
Li, Zhongmei
;
Liu, Tang
;
Lu, Yuxiang
;
Tian, Jing
;
Zhang, Meng
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2025/08/21
convolutional neural network
transformer
cross attention mechanism
hyperspectral image classification
coastal wetland classification
A wave-shaped CNN for marine-raft aquaculture-area extraction in SAR images
期刊论文
OAI收割
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2025, 卷号: 232, 页码: 110078
作者:
Guo, Yanjun
;
Du, Yunyan
;
Yan, Ming
;
Xie, Ting
;
Liu, Moyun
  |  
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2025/04/21
Remote sensing
Synthetic aperture radar (SAR) images
Marine-floating-raft aquaculture
Deep learning
Convolutional neural network (CNN)
Advanced Permeability Prediction Through Two-Dimensional Geological Feature Image Extraction with CNN Regression from Well Logs Data
期刊论文
OAI收割
MATHEMATICAL GEOSCIENCES, 2025, 页码: 46
作者:
Hussain, Wakeel
;
Luo, Miao
;
Ali, Muhammad
;
Rizvi, Syed Naheel Raza
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2025/06/27
Machine learning
Convolutional neural networks
Geophysical logs
2D geological feature image
Permeability
Vision-based underwater target real time detection for autonomous underwater vehicle subsea exploration
期刊论文
OAI收割
Frontiers in Marine Science, 2025, 卷号: 10, 期号: 1, 页码: 1-12
作者:
Xu GF(徐高飞)
;
Zhou DX(周道先)
;
Yuan LB(袁立标)
;
Guo W(郭威)
;
Huang ZP(黄泽鹏)
  |  
收藏
  |  
浏览/下载:57/0
  |  
提交时间:2022/12/16
autonomous underwater vehicle
subsea exploration
real time target detection
light weight convolutional neural network
underwater image enhancement
A Novel Hybrid-DCNN-Based Framework for Enhanced Rice Aboveground Biomass Estimation Under Limited Samples
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 卷号: 63, 页码: 4405716
作者:
Liu, Yibo
;
Pei, Jie
;
Zou, Yaopeng
;
Tan, Shaofeng
;
He, Yinan
  |  
收藏
  |  
浏览/下载:64/0
  |  
提交时间:2025/04/21
Data models
Crops
Autonomous aerial vehicles
Estimation
Training
Biomass
Predictive models
Fertilizers
Deep learning
Biological system modeling
Aboveground biomass (AGB)
deep convolutional neural network (DCNN)
multisource uncrewed aerial vehicle (UAV) data
PROSAIL-PRO
rice
SFobNet: An Improved Swin Transformer Integrating Urban Functional Zones for Object-Level Building Height Estimation From Sentinel-2 Images
期刊论文
OAI收割
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2025, 卷号: 18, 页码: 26961-26982
作者:
Bao, Wenxuan
;
Dou, Yinyin
;
Kuang, Wenhui
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2025/12/19
Estimation
Buildings
Feature extraction
Transformers
Remote sensing
Urban areas
Data mining
Convolutional neural networks
Accuracy
Spatial resolution
Building height estimation
improved Swin Transformer
object-level
Sentinel-2 images
urban functional zones