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Contribution of PPP with Ambiguity Resolution to the Maintenance of Terrestrial Reference Frame
期刊论文
REMOTE SENSING, 2025, 卷号: 17, 期号: 7, 页码: 1183
作者:
Wang Ruyuan
;
Chen Junping
;
Zhang Yize
Adobe PDF(6500Kb)
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浏览/下载:41/3
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提交时间:2025/03/31
PPP-AR
coordinate time series
velocity field
reference frame
Regional Tropospheric Delay Prediction Model Based on LSTM-Enhanced Encoder Network
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2025, 卷号: PP, 期号: 99
作者:
Yuanfang Peng
;
Chenglin Cai
;
Zexian Li
;
Kaihui Lv
;
Xue Zhang
Adobe PDF(1839Kb)
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收藏
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浏览/下载:9/1
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提交时间:2025/05/06
Deep learning
Delay circuits
Global positioning system
Ionosphere
Network coding
Stochastic systems
Deep learning
Delay predictions
Global Navigation Satellite Systems
High precision positioning
Model-based OPC
Precise modeling
Prediction modelling
Real- time
Tropospheric delays
Zenith tropospheric delays
Regional GNSS Common Mode Error Correction to Refine the Global Reference Frame
期刊论文
REMOTE SENSING, 2024, 卷号: 16, 期号: 23
作者:
Wang, Ruyuan
;
Chen, Junping
;
Dong, Danan
;
Tan, Weijie
;
Liao, Xinhao
Adobe PDF(8017Kb)
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浏览/下载:146/3
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提交时间:2024/12/23
common mode error correction
position coordinates time series
IGS solutions
terrestrial reference frame
Road target recognition based on radar range-Doppler spectrum with GS - ResNet
期刊论文
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2024
作者:
Liang, Xinpeng
;
Chu, Liu
;
Hua, Bing
;
Shi, Quan
;
Shi, Jiajia
收藏
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浏览/下载:208/0
|
提交时间:2024/10/14
deep learning
target recognition
global attention mechanism, range-Doppler
Denoising of Photon-Counting LiDAR Bathymetry Based on Adaptive Variable OPTICS Model and Its Accuracy Assessment
期刊论文
REMOTE SENSING, 2024, 卷号: 16, 期号: 18
作者:
Li, Peize
;
Xu, Yangrui
;
Zhao, Yanpeng
;
Liang, Kun
;
Si, Yuanjie
Adobe PDF(11057Kb)
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收藏
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浏览/下载:293/1
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提交时间:2024/10/11
Bathymetry
Optical fibers
Adaptive variable ordering point to identify the clustering structure
Bathymetric method
Clusterings
De-noising
ICESat-2/ATLAS
Input variables
Photon counting
Photon-counting LiDAR
Structure models
Variables ordering
ESatSR: Enhancing Super-Resolution for Satellite Remote Sensing Images with State Space Model and Spatial Context
期刊论文
REMOTE SENSING, 2024, 卷号: 16, 期号: 11
作者:
Adobe PDF(18838Kb)
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浏览/下载:307/4
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提交时间:2024/05/31
image super-resolution
remote sensing
state space model
prior assumption
Assessment of the Improvement in Observation Precision of GNSS, SLR, VLBI, and DORIS Inputs from ITRF2014 to ITRF2020 Using TRF Stacking Methods
期刊论文
REMOTE SENSING, 2024, 卷号: 16, 期号: 7
作者:
Zhang, Jin
;
Huang, Chengli
;
Lian, Lizhen
;
Zhang, Simeng
Adobe PDF(3789Kb)
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收藏
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浏览/下载:284/55
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提交时间:2024/04/26
Geodetic satellites
Global positioning system
Input output programs
Statistics
Dopple orbitography and radiopositioning integrated by satellite
Doppler
Global Navigation Satellite Systems
International terrestrial reference frames
Orbitography
Quality assessment
Satellite laser ranging
Space geodesy
Stackings
Terrestrial reference frame
Terrestrial reference frame stacking
Very long baseline interferometry
Optimizing Few-Shot Remote Sensing Scene Classification Based on an Improved Data Augmentation Approach
期刊论文
REMOTE SENSING, 2024, 卷号: 16, 期号: 3
作者:
Dong, Zhong
;
Lin, Baojun
;
Xie, Fang
Adobe PDF(3692Kb)
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收藏
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浏览/下载:395/0
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提交时间:2024/02/23
Classification (of information)
Image classification
Space optics
Augmentation methods
Classification learning
Data augmentation
Feature distortion
Few-shot learning
Remote sensing images
Remote sensing scene classification
Remote-sensing
Scene classification
Shot classification
Distortion Magnitude Control: A Dynamic Augmentation Optimization Approach for Few-Shot Learning in Remote Sensing Scene Classification
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 卷号: 21, 页码: 1-5
作者:
Dong, Zhong
;
Lin, Baojun
;
Xie, Fang
Adobe PDF(5422Kb)
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收藏
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浏览/下载:347/2
|
提交时间:2024/01/19
Data augmentation
distortion magnitude
feature distortion
remote sensing (RS) scene classification
Classification (of information)
Image classification
Job analysis
Space optics
Distortion magnitude
Feature distortion
Features extraction
Remote sensing scene classification
Remote-sensing
Scene classification
Task analysis
Optimizing distortion magnitude for data augmentation in few-shot remote sensing scene classification
期刊论文
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2024, 卷号: 45, 期号: 4, 页码: 1134-1147
作者:
Dong, Zhong
;
Lin, Baojun
;
Xie, Fang
收藏
|
浏览/下载:340/0
|
提交时间:2024/02/23
Classification (of information)
Learning systems
Classification performance
Classification tasks
Data augmentation
Distortion magnitude
Feature distortion
Remote sensing images
Remote sensing scene classification
Remote-sensing
Scene classification
Shot classification
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