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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 作者: Wang Ruyuan; Chen Junping Adobe PDF(6500Kb) \| 收藏 \| 浏览/下载：42/3 \| 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, 页码: 13348-13358 作者: Yuanfang Peng; Chenglin Cai; Zexian Li; Kaihui Lv; Xue Zhang Adobe PDF(1839Kb) \| 收藏 \| 浏览/下载：11/1 \| 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) \| 收藏 \| 浏览/下载：151/3 \| 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, 卷号: 45, 期号: 22, 页码: 8290-8312 作者: Liang, Xinpeng; Chu, Liu; Hua, Bing; Shi, Quan; Shi, Jiajia 收藏 \| 浏览/下载：211/0 \| 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) \| 收藏 \| 浏览/下载：297/1 \| 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: Yinxiao Wang; Wei Yuan; Fang Xie; Baojun Lin Adobe PDF(18838Kb) \| 收藏 \| 浏览/下载：309/4 \| 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) \| 收藏 \| 浏览/下载：290/58 \| 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 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：343/0 \| 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
	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) \| 收藏 \| 浏览/下载：399/0 \| 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 作者: Dong, Zhong; Lin, Baojun; Xie, Fang Adobe PDF(5422Kb) \| 收藏 \| 浏览/下载：350/2 \| 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

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