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2020 – today
- 2024
- [j101]Ziyang Lihe, Jiang He, Qiangqiang Yuan, Xianyu Jin, Yi Xiao, Liangpei Zhang:
PhDnet: A novel physic-aware dehazing network for remote sensing images. Inf. Fusion 106: 102277 (2024) - [j100]Yuzeng Chen, Qiangqiang Yuan, Yuqi Tang, Yi Xiao, Jiang He, Zhenqi Liu:
SENSE: Hyperspectral video object tracker via fusing material and motion cues. Inf. Fusion 109: 102395 (2024) - [j99]Shuhui Chen, Xin Su
, Li Zheng
, Qiangqiang Yuan
:
Statistic Ratio Attention-Guided Siamese U-Net for SAR Image Semantic Change Detection. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j98]Zhenghao Li, Qiangqiang Yuan, Qianqian Yang, Jie Li:
Fusion of Machine Learning and Semi-Empirical Models for Cooperative Retrieval of Soil Moisture With Optical and SAR Remote Sensing: Cyclic or Parallel? IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j97]Yifan Wang, Yuan Wang, Yi Xiao
, Bincheng Wan, Yuanjian Yang, Qiangqiang Yuan, Yi Ma, Guofang Wang:
Physics-Informed Multitemporal Ensemble Learning for Near Real-Time Precipitation Estimates From Himawari-8/-9. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j96]Tingting Liu
, Yachao Li, Zemin Wang, Qiangqiang Yuan
:
A New Spatially and Temporally Continuous Antarctic Ice-Sheet Surface Temperature Retrieval Method From Passive Microwave Swath Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 10690-10702 (2024) - [j95]Zhonghua Qian, Linwei Yue, Xiao Xie, Qiangqiang Yuan, Huanfeng Shen:
A Dual-Perspective Spatiotemporal Fusion Model for Remote Sensing Images by Discriminative Learning of the Spatial and Temporal Mapping. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 12505-12520 (2024) - [j94]Yi Xiao
, Qiangqiang Yuan
, Kui Jiang
, Xianyu Jin
, Jiang He
, Liangpei Zhang
, Chia-Wen Lin
:
Local-Global Temporal Difference Learning for Satellite Video Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2789-2802 (2024) - [j93]Yuzeng Chen
, Qiangqiang Yuan
, Yuqi Tang
, Yi Xiao
, Jiang He
, Liangpei Zhang
:
SPIRIT: Spectral Awareness Interaction Network With Dynamic Template for Hyperspectral Object Tracking. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j92]Jie Li
, Liupeng Lin
, Mange He
, Jiang He
, Qiangqiang Yuan
, Huanfeng Shen
:
Sentinel-1 Dual-Polarization SAR Images Despeckling Network Based on Unsupervised Learning. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j91]Xusi Liao, Yajie Li, Jiang He
, Xianyu Jin
, Yi Liu
, Qiangqiang Yuan
:
Advancing Multiobject Tracking for Small Vehicles in Satellite Videos: A More Focused and Continuous Approach. IEEE Trans. Geosci. Remote. Sens. 62: 1-19 (2024) - [j90]Yao Tang, Jie Li, Linwei Yue, Xinxin Liu, Yajie Li, Yi Xiao, Qiangqiang Yuan:
A CNN-Transformer Embedded Unfolding Network for Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j89]Jiaqi Wang, Haonan Guo
, Xin Su
, Li Zheng, Qiangqiang Yuan
:
PCDASNet: Position-Constrained Differential Attention Siamese Network for Building Damage Assessment. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - [j88]Yi Xiao
, Qiangqiang Yuan
, Kui Jiang
, Jiang He
, Xianyu Jin
, Liangpei Zhang
:
EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j87]Yi Xiao
, Qiangqiang Yuan
, Kui Jiang
, Jiang He, Chia-Wen Lin
, Liangpei Zhang
:
TTST: A Top-k Token Selective Transformer for Remote Sensing Image Super-Resolution. IEEE Trans. Image Process. 33: 738-752 (2024) - [i16]Yi Xiao, Qiangqiang Yuan, Qiang Zhang, Liangpei Zhang:
Deep Blind Super-Resolution for Satellite Video. CoRR abs/2401.07139 (2024) - [i15]Yi Xiao, Qiangqiang Yuan, Kui Jiang, Yuzeng Chen, Qiang Zhang, Chia-Wen Lin:
Frequency-Assisted Mamba for Remote Sensing Image Super-Resolution. CoRR abs/2405.04964 (2024) - 2023
- [j86]Shuheng Zhao, Xiaolin Zhu
, Denghong Liu, Fei Xu, Yan Wang, Liupeng Lin, Xuehong Chen, Qiangqiang Yuan:
A hyperspectral image denoising method based on land cover spectral autocorrelation. Int. J. Appl. Earth Obs. Geoinformation 123: 103481 (2023) - [j85]Qiang Zhang
, Jian Zhu
, Yan Huang, Qiangqiang Yuan, Liangpei Zhang:
Beyond being wise after the event: Combining spatial, temporal and spectral information for Himawari-8 early-stage wildfire detection. Int. J. Appl. Earth Obs. Geoinformation 124: 103506 (2023) - [j84]Linwei Yue, Baoguang Li, Shuang Zhu, Qiangqiang Yuan, Huanfeng Shen
:
A fully automatic and high-accuracy surface water mapping framework on Google Earth Engine using Landsat time-series. Int. J. Digit. Earth 16(1): 210-233 (2023) - [j83]Denghong Liu, Jie Li, Qiangqiang Yuan, Li Zheng, Jiang He
, Shuheng Zhao, Yi Xiao
:
An efficient unfolding network with disentangled spatial-spectral representation for hyperspectral image super-resolution. Inf. Fusion 94: 92-111 (2023) - [j82]Yi Xiao
, Qiangqiang Yuan, Kui Jiang, Jiang He
, Yuan Wang, Liangpei Zhang:
From degrade to upgrade: Learning a self-supervised degradation guided adaptive network for blind remote sensing image super-resolution. Inf. Fusion 96: 297-311 (2023) - [j81]Jiang He
, Qiangqiang Yuan, Jie Li, Yi Xiao
, Denghong Liu, Huanfeng Shen, Liangpei Zhang:
Spectral super-resolution meets deep learning: Achievements and challenges. Inf. Fusion 97: 101812 (2023) - [j80]Xianyu Jin
, Jiang He
, Yi Xiao
, Qiangqiang Yuan
:
Learning a Local-Global Alignment Network for Satellite Video Super-Resolution. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j79]Qiang Zhang
, Yushuai Dong, Qiangqiang Yuan
, Meiping Song
, Haoyang Yu
:
Combined Deep Priors With Low-Rank Tensor Factorization for Hyperspectral Image Restoration. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j78]Yajie Li, Jie Li, Jiang He
, Xinxin Liu, Qiangqiang Yuan:
An Optimization-Driven Network With Knowledge Prior Injection for HSI Denoising. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [j77]Zhenghao Li, Qiangqiang Yuan
, Liangpei Zhang
:
Geo-Intelligent Retrieval Framework Based on Machine Learning in the Cloud Environment: A Case Study of Soil Moisture Retrieval. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j76]Yi Xiao
, Qiangqiang Yuan
, Qiang Zhang
, Liangpei Zhang
:
Deep Blind Super-Resolution for Satellite Video. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j75]Tianhao Zhang
, Huanfeng Shen
, Xinghui Xia, Lunche Wang
, Feiyue Mao, Qiangqiang Yuan
, Yu Gu
, Bin Zhao
, Zhongmin Zhu, Yun Lin
, Yanchen Bo
, Wei Gong:
Himawari-8 High Temporal Resolution AOD Products Recovery: Nested Bayesian Maximum Entropy Fusion Blending GEO With SSO Satellite Observations. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [c41]Yingtao Wei, Liupeng Lin, Jie Li, Qiangqiang Yuan:
A Soil Moisture Downscaling Residual Dense Network Considering Spatiotemporal Relationship. IGARSS 2023: 3170-3173 - [i14]Yi Xiao
, Qiangqiang Yuan, Kui Jiang, Xianyu Jin, Jiang He, Liangpei Zhang, Chia-Wen Lin:
Local-Global Temporal Difference Learning for Satellite Video Super-Resolution. CoRR abs/2304.04421 (2023) - [i13]Yi Xiao, Qiangqiang Yuan, Kui Jiang, Jiang He, Xianyu Jin, Liangpei Zhang:
EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolution. CoRR abs/2310.19288 (2023) - [i12]Jiang He, Yajie Li, Jie Li, Qiangqiang Yuan:
TDiffDe: A Truncated Diffusion Model for Remote Sensing Hyperspectral Image Denoising. CoRR abs/2311.13622 (2023) - 2022
- [j74]Yi Xiao
, Qiangqiang Yuan, Jiang He
, Qiang Zhang
, Jing Sun, Xin Su
, Jialian Wu, Liangpei Zhang:
Space-time super-resolution for satellite video: A joint framework based on multi-scale spatial-temporal transformer. Int. J. Appl. Earth Obs. Geoinformation 108: 102731 (2022) - [j73]Jiang He
, Qiangqiang Yuan, Jie Li, Yi Xiao
, Xinxin Liu, Yun Zou:
DsTer: A dense spectral transformer for remote sensing spectral super-resolution. Int. J. Appl. Earth Obs. Geoinformation 109: 102773 (2022) - [j72]Jiang He
, Qiangqiang Yuan, Jie Li
, Liangpei Zhang:
PoNet: A universal physical optimization-based spectral super-resolution network for arbitrary multispectral images. Inf. Fusion 80: 205-225 (2022) - [j71]Jie Li
, Weixuan Sun, Menghui Jiang
, Qiangqiang Yuan
:
Self-Supervised Pansharpening Based on a Cycle-Consistent Generative Adversarial Network. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j70]Liupeng Lin
, Huanfeng Shen
, Jie Li
, Qiangqiang Yuan
:
FDFNet: A Fusion Network for Generating High-Resolution Fully PolSAR Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j69]Xiao Zhang, Xin Su
, Qiangqiang Yuan
, Qing Wang:
Spatial-Temporal Gray-Level Co-Occurrence Aware CNN for SAR Image Change Detection. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j68]Hai Zhang
, Huanfeng Shen, Qiangqiang Yuan, Xiaobin Guan:
Multispectral and SAR Image Fusion Based on Laplacian Pyramid and Sparse Representation. Remote. Sens. 14(4): 870 (2022) - [j67]Xinyi Lan, Liye Zhu
, Qiangqiang Yuan:
Long-Term Variation of Greenhouse Gas N2O Observed by MLS during 2005-2020. Remote. Sens. 14(4): 955 (2022) - [j66]Jingwen Liu
, Sihui Wang, Qiangqiang Yuan, Feng Zhang
, Liye Zhu
:
Vertical Profile of Ozone Derived from Combined MLS and TES Satellite Observations. Remote. Sens. 14(7): 1588 (2022) - [j65]Xiaoyan Tan, Yun Zou
, Ziyang Guo, Ke Zhou, Qiangqiang Yuan
:
Deep Contrastive Self-Supervised Hashing for Remote Sensing Image Retrieval. Remote. Sens. 14(15): 3643 (2022) - [j64]Yedan Yu, Jie Li
, Qiangqiang Yuan
, Qian Shi
, Huanfeng Shen
, Liangpei Zhang
:
Coupling Dual Graph Convolution Network and Residual Network for Local Climate Zone Mapping. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1221-1234 (2022) - [j63]Linwei Yue, Fangqing Zan
, Xiuguo Liu
, Qiangqiang Yuan
, Huanfeng Shen
:
The Spatio-Temporal Reconstruction of Lake Water Levels Using Deep Learning Models: A Case Study on Altai Mountains. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 4919-4940 (2022) - [j62]Jiang He
, Qiangqiang Yuan
, Jie Li
, Liangpei Zhang
:
A Knowledge Optimization-Driven Network With Normalizer-Free Group ResNet Prior for Remote Sensing Image Pan-Sharpening. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j61]Tongwen Li
, Huanfeng Shen
, Qiangqiang Yuan
, Liangpei Zhang
:
A Locally Weighted Neural Network Constrained by Global Training for Remote Sensing Estimation of PM₂.₅. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j60]Jie Lin
, Ting-Zhu Huang
, Xi-Le Zhao
, Yong Chen
, Qiang Zhang
, Qiangqiang Yuan
:
Robust Thick Cloud Removal for Multitemporal Remote Sensing Images Using Coupled Tensor Factorization. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j59]Liupeng Lin
, Jie Li
, Huanfeng Shen
, Lingli Zhao
, Qiangqiang Yuan
, Xinghua Li
:
Low-Resolution Fully Polarimetric SAR and High-Resolution Single-Polarization SAR Image Fusion Network. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j58]Xinxin Liu
, Huanfeng Shen
, Qiangqiang Yuan
, Xiliang Lu
, Shutao Li
:
One-Step High-Quality NDVI Time-Series Reconstruction by Joint Modeling of Gradual Vegetation Change and Negatively Biased Atmospheric Contamination. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j57]Fengfeng Wang
, Jie Li
, Qiangqiang Yuan
, Liangpei Zhang
:
Local-Global Feature-Aware Transformer Based Residual Network for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j56]Jialian Wu, Xin Su
, Qiangqiang Yuan
, Huanfeng Shen
, Liangpei Zhang
:
Multivehicle Object Tracking in Satellite Video Enhanced by Slow Features and Motion Features. IEEE Trans. Geosci. Remote. Sens. 60: 1-26 (2022) - [j55]Jiajun Xiao, Jie Li
, Qiangqiang Yuan
, Liangpei Zhang
:
A Dual-UNet With Multistage Details Injection for Hyperspectral Image Fusion. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j54]Yi Xiao
, Xin Su
, Qiangqiang Yuan
, Denghong Liu, Huanfeng Shen
, Liangpei Zhang
:
Satellite Video Super-Resolution via Multiscale Deformable Convolution Alignment and Temporal Grouping Projection. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j53]Shuheng Zhao, Qiangqiang Yuan
, Jie Li
, Yunze Hu, Xinxin Liu
, Liangpei Zhang
:
A Fast and Effective Irregular Stripe Removal Method for Moon Mineralogy Mapper (M3). IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j52]Qiang Zhang
, Qiangqiang Yuan
, Meiping Song
, Haoyang Yu
, Liangpei Zhang
:
Cooperated Spectral Low-Rankness Prior and Deep Spatial Prior for HSI Unsupervised Denoising. IEEE Trans. Image Process. 31: 6356-6368 (2022) - [j51]Jiang He
, Jie Li
, Qiangqiang Yuan
, Huanfeng Shen
, Liangpei Zhang
:
Spectral Response Function-Guided Deep Optimization-Driven Network for Spectral Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4213-4227 (2022) - [c40]Shouxing Wang, Yao Tang, Xusi Liao, Jiang He
, Haoliang Feng, Hongzan Jiao, Xin Su, Qiangqiang Yuan:
An Ensemble Learning Approach with Multi-depth Attention Mechanism for Road Damage Detection. IEEE Big Data 2022: 6439-6444 - [c39]Jianhao Gao, Jie Li, Xin Su
, Menghui Jiang, Qiangqiang Yuan:
Deep Image Interpolation: A Unified Unsupervised Framework for Pansharpening. CVPR Workshops 2022: 608-617 - [c38]Boaz Arad, Radu Timofte
, Rony Yahel, Nimrod Morag, Amir Bernat, Yuanhao Cai, Jing Lin, Zudi Lin, Haoqian Wang, Yulun Zhang
, Hanspeter Pfister
, Luc Van Gool, Shuai Liu, Yongqiang Li, Chaoyu Feng, Lei Lei, Jiaojiao Li, Songcheng Du, Chaoxiong Wu, Yihong Leng, Rui Song, Mingwei Zhang, Chongxing Song, Shuyi Zhao, Zhiqiang Lang, Wei Wei, Lei Zhang, Renwei Dian, Tianci Shan, Anjing Guo, Chengguo Feng, Jinyang Liu, Mirko Agarla
, Simone Bianco, Marco Buzzelli, Luigi Celona, Raimondo Schettini, Jiang He
, Yi Xiao, Jiajun Xiao, Qiangqiang Yuan, Jie Li, Liangpei Zhang, Taesung Kwon, Dohoon Ryu, Hyokyoung Bae, Hao-Hsiang Yang, Hua-En Chang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo, Junyu Chen, Haiwei Li, Song Liu, Sabari Nathan, K. Uma, B. Sathya Bama, S. Mohamed Mansoor Roomi:
NTIRE 2022 Spectral Recovery Challenge and Data Set. CVPR Workshops 2022: 862-880 - [c37]Yi Xiao
, Xin Su
, Qiangqiang Yuan:
Learning an Intrinsic Graph Neural Network for Sartellite Video Super-Resolution. IGARSS 2022: 3751-3753 - [c36]Wen Zhong, Qiangqiang Yuan, Tingting Liu, Linwei Yue:
Improving Freeze/Thaw Onsets Retrieval by Combining SMAP and AMSR2 Based on Xgboost: a Case Study in Alaska. IGARSS 2022: 3834-3837 - [c35]Siqin Zhou, Yuan Wang, Qiangqiang Yuan:
Estimation of Hourly Air Temperature in China Based on LightGBM and Himawari-8. IGARSS 2022: 6558-6561 - [c34]Fengfeng Wang
, Jie Li, Qiangqiang Yuan:
Hyperspectral Image Restoration Based on Tensor Average Rank and Spatial-Spectral Total Variation. IGARSS 2022: 7571-7574 - [c33]Siyu Tan, Qiangqiang Yuan:
Estimation of Atmospheric PM2.5 based on Photos and Deep Learning. IGARSS 2022: 7984-7987 - 2021
- [j50]Jianhao Gao
, Qiangqiang Yuan, Jie Li, Xin Su
:
Unsupervised missing information reconstruction for single remote sensing image with Deep Code Regression. Int. J. Appl. Earth Obs. Geoinformation 105: 102599 (2021) - [j49]Rong Luo
, Qiangqiang Yuan
, Linwei Yue, Xiaogang Shi:
Monitoring Recent Lake Variations Under Climate Change Around the Altai Mountains Using Multimission Satellite Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 1374-1388 (2021) - [j48]Zhixian Nong, Xin Su
, Yi Liu, Zongqian Zhan, Qiangqiang Yuan:
Boundary-Aware Dual-Stream Network for VHR Remote Sensing Images Semantic Segmentation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 5260-5268 (2021) - [j47]Jiajun Xiao, Jie Li
, Qiangqiang Yuan
, Menghui Jiang, Liangpei Zhang
:
Physics-Based GAN With Iterative Refinement Unit for Hyperspectral and Multispectral Image Fusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 6827-6841 (2021) - [j46]Huanfeng Shen
, Chenxia Zhou, Jie Li
, Qiangqiang Yuan
:
SAR Image Despeckling Employing a Recursive Deep CNN Prior. IEEE Trans. Geosci. Remote. Sens. 59(1): 273-286 (2021) - [j45]Denghong Liu, Jie Li
, Qiangqiang Yuan
:
A Spectral Grouping and Attention-Driven Residual Dense Network for Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 59(9): 7711-7725 (2021) - [c32]Jianhao Gao, Jie Li, Qiangqiang Yuan, Jiang He
, Xin Su
:
Self-supervised Hyperspectral and Multispectral Image Fusion in Deep Neural Network. ICIG (3) 2021: 425-436 - [c31]Jiajun Xiao, Qiangqiang Yuan, Jie Li, Huanfeng Shen:
Enhanced Residual Dense Network Joint with GRUS for Multispectral and Hyperspectral Image Fusion. IGARSS 2021: 2448-2451 - [c30]Denghong Liu, Jie Li, Qiangqiang Yuan:
Enhanced 3D Convolution for Hyperspectral Image Super-Resolution. IGARSS 2021: 2452-2455 - [c29]Qiang Zhang, Fujun Sun, Qiangqiang Yuan, Liangpei Zhang:
Thick Cloud Removal for Sentinel-2 Time-Series Images via Combining Deep Prior and Low-Rank Tensor Completion. IGARSS 2021: 2675-2678 - [c28]Yi Xiao
, Xin Su, Qiangqiang Yuan:
A Recurrent Refinement Network for Satellite Video Super-Resolution. IGARSS 2021: 3865-3868 - [i11]Liupeng Lin, Jie Li, Huanfeng Shen, Lingli Zhao, Qiangqiang Yuan, Xinghua Li:
Fully Polarimetric SAR and Single-Polarization SAR Image Fusion Network. CoRR abs/2107.08355 (2021) - [i10]Huanfeng Shen, Menghui Jiang, Jie Li, Chenxia Zhou, Qiangqiang Yuan, Liangpei Zhang:
Coupling Model-Driven and Data-Driven Methods for Remote Sensing Image Restoration and Fusion. CoRR abs/2108.06073 (2021) - 2020
- [j44]Jianhao Gao
, Qiangqiang Yuan, Jie Li
, Hai Zhang
, Xin Su
:
Cloud Removal with Fusion of High Resolution Optical and SAR Images Using Generative Adversarial Networks. Remote. Sens. 12(1): 191 (2020) - [j43]Shuheng Zhao, Denghong Liu, Qiangqiang Yuan, Jie Li
:
A Global Gravity Reconstruction Method for Mercury Employing Deep Convolutional Neural Network. Remote. Sens. 12(14): 2293 (2020) - [j42]Tongwen Li
, Yuan Wang, Qiangqiang Yuan:
Remote Sensing Estimation of Regional NO2 via Space-Time Neural Networks. Remote. Sens. 12(16): 2514 (2020) - [j41]Tongwen Li
, Huanfeng Shen
, Chao Zeng
, Qiangqiang Yuan
:
A Validation Approach Considering the Uneven Distribution of Ground Stations for Satellite-Based PM2.5 Estimation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 1312-1321 (2020) - [j40]Shuheng Zhao
, Jie Li
, Qiangqiang Yuan
, Huanfeng Shen
, Liangpei Zhang
:
Can Terrestrial Restoration Methodologies be Transferred to Planetary Hyperspectral Imagery? A Quantitative Intercomparison and Discussion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 5759-5775 (2020) - [j39]Shu Zhang, Qiangqiang Yuan
, Jie Li
, Jing Sun, Xuguo Zhang:
Scene-Adaptive Remote Sensing Image Super-Resolution Using a Multiscale Attention Network. IEEE Trans. Geosci. Remote. Sens. 58(7): 4764-4779 (2020) - [c27]Shuheng Zhao, Qiangqiang Yuan, Jie Li, Huanfeng Shen
, Liangpei Zhang:
Lunar Hyperspectral Image Destriping Method Using Low-Rank Matrix Recovery and Guided Profile. IGARSS 2020: 585-588 - [c26]Qiang Zhang, Fujun Sun, Qiangqiang Yuan, Jie Li, Huanfeng Shen
, Liangpei Zhang:
Combined the Data-Driven with Model-Driven Stragegy: A Novel Framework for Mixed Noise Removal in Hyperspectral Image. IGARSS 2020: 2667-2670 - [c25]Jiang He
, Jie Li, Qiangqiang Yuan:
Data-Driven and Model-Driven Spectral Superresolution Algorithms: Combination, Analysis and Application for Classification. IGARSS 2020: 2687-2690 - [c24]Shu Zhang, Qiangqiang Yuan, Jie Li:
Video Satellite Imagery Super Resolution for 'Jilin-1' via a Single-and-Multi Frame Ensembled Framework. IGARSS 2020: 2731-2734 - [c23]Yuan Wang, Qiangqiang Yuan, Ruixue Xiao, Tongwen Li
, Liangpei Zhang:
Recovery of the Carbon Monoxide Product from S5P-TROPOMI by Fusing Multiple Datasets: A Case Study in Hubei Province, China. IGARSS 2020: 5529-5532 - [i9]Jiang He, Jie Li, Qiangqiang Yuan, Huanfeng Shen, Liangpei Zhang:
Spectral Response Function Guided Deep Optimization-driven Network for Spectral Super-resolution. CoRR abs/2011.09701 (2020)
2010 – 2019
- 2019
- [j38]Qing Cheng
, Qiangqiang Yuan, Michael Kwok-Po Ng, Huanfeng Shen
, Liangpei Zhang:
Missing Data Reconstruction for Remote Sensing Images With Weighted Low-Rank Tensor Model. IEEE Access 7: 142339-142352 (2019) - [j37]Qiangqiang Yuan, Shuwen Li, Linwei Yue, Tongwen Li
, Huanfeng Shen
, Liangpei Zhang:
Monitoring the Variation of Vegetation Water Content with Machine Learning Methods: Point-Surface Fusion of MODIS Products and GNSS-IR Observations. Remote. Sens. 11(12): 1440 (2019) - [j36]Jiang He
, Jie Li
, Qiangqiang Yuan
, Huifang Li, Huanfeng Shen
:
Spatial-Spectral Fusion in Different Swath Widths by a Recurrent Expanding Residual Convolutional Neural Network. Remote. Sens. 11(19): 2203 (2019) - [j35]Ziqi Gu, Zongqian Zhan
, Qiangqiang Yuan
, Li Yan:
Single Remote Sensing Image Dehazing Using a Prior-Based Dense Attentive Network. Remote. Sens. 11(24): 3008 (2019) - [j34]Huixin Fan, Jie Li
, Qiangqiang Yuan
, Xinxin Liu, Michael Ng:
Hyperspectral image denoising with bilinear low rank matrix factorization. Signal Process. 163: 132-152 (2019) - [j33]Qiangqiang Yuan
, Qiang Zhang
, Jie Li
, Huanfeng Shen
, Liangpei Zhang
:
Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network. IEEE Trans. Geosci. Remote. Sens. 57(2): 1205-1218 (2019) - [j32]Xiangchao Meng
, Huanfeng Shen
, Qiangqiang Yuan
, Huifang Li
, Liangpei Zhang
, Weiwei Sun
:
Pansharpening for Cloud-Contaminated Very High-Resolution Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 57(5): 2840-2854 (2019) - [j31]Huanfeng Shen
, Menghui Jiang, Jie Li
, Qiangqiang Yuan
, Yanchong Wei
, Liangpei Zhang
:
Spatial-Spectral Fusion by Combining Deep Learning and Variational Model. IEEE Trans. Geosci. Remote. Sens. 57(8): 6169-6181 (2019) - [j30]Qiang Zhang
, Qiangqiang Yuan
, Jie Li
, Xinxin Liu
, Huanfeng Shen
, Liangpei Zhang
:
Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network. IEEE Trans. Geosci. Remote. Sens. 57(10): 7317-7329 (2019) - [j29]Jie Li
, Xinxin Liu
, Qiangqiang Yuan
, Huanfeng Shen
, Liangpei Zhang
:
Antinoise Hyperspectral Image Fusion by Mining Tensor Low-Multilinear-Rank and Variational Properties. IEEE Trans. Geosci. Remote. Sens. 57(10): 7832-7848 (2019) - [c22]Qiang Zhang, Qiangqiang Yuan, Jie Li, Huanfeng Shen, Liangpei Zhang:
Cloud and Shadow Removal for Sentinel-2 by Progressively Spatiotemporal Patch Group Learning. IGARSS 2019: 775-778 - [c21]Liupeng Lin, Jie Li, Qiangqiang Yuan, Huanfeng Shen
:
Polarimetric SAR Image Super-Resolution VIA Deep Convolutional Neural Network. IGARSS 2019: 3205-3208 - [c20]Jiwen Wang, Qiangqiang Yuan, Tongwen Li
, Huanfeng Shen, Liangpei Zhang:
Estimating Snow-Depth by Fusing Satellite and Station Observations: A Deep Learning Approach. IGARSS 2019: 4109-4112 - [c19]Menghui Jiang, Jie Li, Qiangqiang Yuan, Huanfeng Shen, Xinxin Liu, Mingming Xu:
Differential Information Residual Convolutional Neural Network for Pansharpening. IGARSS 2019: 4865-4868 - [c18]Hongzhang Xu
, Qiangqiang Yuan, Tongwen Li
, Huanfeng Shen, Liangpei Zhang:
Estimating Surface Soil Moisture from Satellite Observations Using Machine Learning Trained on In Situ Measurements in the Continental U.S. IGARSS 2019: 6166-6169 - [c17]Shuwen Li, Qiangqiang Yuan, Linwei Yue, Tongwen Li
, Huanfeng Shen, Liangpei Zhang:
Downscaling GNSS-R Based Vegetation Water Content Product Using Random Forest Model. IGARSS 2019: 6720-6723 - [c16]Yuan Wang, Qiangqiang Yuan, Haotian Wang, Tongwen Li
, Huanfeng Shen
, Liangpei Zhang:
Validation of MODIS 1-Km MAIAC Aerosol Products with AERONET in China During 2008-2016. IGARSS 2019: 7610-7613 - [c15]Jianhao Gao, Hai Zhang, Qiangqiang Yuan:
Cloud removal with fusion of SAR and Optical Images by Deep Learning. MultiTemp 2019: 1-3 - 2018
- [j28]Qiang Zhang
, Qiangqiang Yuan, Jie Li, Zhen Yang, Xiaoshuang Ma:
Learning a Dilated Residual Network for SAR Image Despeckling. Remote. Sens. 10(2): 196 (2018) - [j27]Hongzhang Xu
, Qiangqiang Yuan
, Tongwen Li
, Huanfeng Shen
, Liangpei Zhang, Hongtao Jiang:
Quality Improvement of Satellite Soil Moisture Products by Fusing with In-Situ Measurements and GNSS-R Estimates in the Western Continental U.S. Remote. Sens. 10(9): 1351 (2018) - [j26]Qiangqiang Yuan
, Yancong Wei, Xiangchao Meng
, Huanfeng Shen
, Liangpei Zhang
:
A Multiscale and Multidepth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(3): 978-989 (2018) - [j25]Xinxin Liu
, Huanfeng Shen
, Qiangqiang Yuan
, Xiliang Lu
, Chunping Zhou:
A Universal Destriping Framework Combining 1-D and 2-D Variational Optimization Methods. IEEE Trans. Geosci. Remote. Sens. 56(2): 808-822 (2018) - [j24]Qiang Zhang
, Qiangqiang Yuan
, Chao Zeng, Xinghua Li
, Yancong Wei
:
Missing Data Reconstruction in Remote Sensing Image With a Unified Spatial-Temporal-Spectral Deep Convolutional Neural Network. IEEE Trans. Geosci. Remote. Sens. 56(8): 4274-4288 (2018) - [c14]Qiang Zhang, Qiangqiang Yuan, Huanfeng Shen
, Liangpei Zhang:
A Unified Spatial-Temporal-Spectral Learning Framework for Reconstructing Missing Data in Remote Sensing Images. IGARSS 2018: 4981-4984 - [c13]Tongwen Li
, Huanfeng Shen
, Qiangqiang Yuan, Liangpei Zhang:
Deep Learning for Ground-Level PM2.5 Prediction from Satellite Remote Sensing Data. IGARSS 2018: 7581-7584 - [i8]Qiang Zhang, Qiangqiang Yuan, Chao Zeng, Xinghua Li, Yancong Wei:
Missing Data Reconstruction in Remote Sensing image with a Unified Spatial-Temporal-Spectral Deep Convolutional Neural Network. CoRR abs/1802.08369 (2018) - [i7]Qiangqiang Yuan, Qiang Zhang, Jie Li, Huanfeng Shen, Liangpei Zhang:
Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network. CoRR abs/1806.00183 (2018) - [i6]Huanfeng Shen, Menghui Jiang, Jie Li, Qiangqiang Yuan, Yanchong Wei, Liangpei Zhang:
Spatial-Spectral Fusion by Combining Deep Learning and Variation Model. CoRR abs/1809.00764 (2018) - [i5]Xinxin Liu, Xiliang Lu, Huanfeng Shen, Qiangqiang Yuan, Liangpei Zhang:
Oblique Stripe Removal in Remote Sensing Images via Oriented Variation. CoRR abs/1809.02043 (2018) - [i4]Qiang Zhang, Qiangqiang Yuan, Jie Li, Xinxin Liu, Huanfeng Shen, Liangpei Zhang:
Hybrid Noise Removal in Hyperspectral Imagery With a Spatial-Spectral Gradient Network. CoRR abs/1810.00495 (2018) - 2017
- [j23]Yancong Wei, Qiangqiang Yuan
, Huanfeng Shen
, Liangpei Zhang:
Boosting the Accuracy of Multispectral Image Pansharpening by Learning a Deep Residual Network. IEEE Geosci. Remote. Sens. Lett. 14(10): 1795-1799 (2017) - [j22]Qiongjie Wang, Li Yan, Qiangqiang Yuan
, Zhenling Ma
:
An Automatic Shadow Detection Method for VHR Remote Sensing Orthoimagery. Remote. Sens. 9(5): 469 (2017) - [j21]Michael Kwok-Po Ng, Qiangqiang Yuan
, Li Yan, Jing Sun:
An Adaptive Weighted Tensor Completion Method for the Recovery of Remote Sensing Images With Missing Data. IEEE Trans. Geosci. Remote. Sens. 55(6): 3367-3381 (2017) - [c12]Yancong Wei, Qiangqiang Yuan, Xiangchao Meng, Huanfeng Shen
, Liangpei Zhang, Michael Kwok-Po Ng:
Multi-scale-and-depth convolutional neural network for remote sensed imagery pan-sharpening. IGARSS 2017: 3413-3416 - [c11]Qiangqiang Yuan, Michael K. Ng, Huanfeng Shen
, Liangpei Zhang, Jie Li:
Miss data reconstruction in remote sensing images with a double weighted tensor low rank model. IGARSS 2017: 4036-4039 - [i3]Yancong Wei, Qiangqiang Yuan, Huanfeng Shen, Liangpei Zhang:
Boosting the accuracy of multi-spectral image pan-sharpening by learning a deep residual network. CoRR abs/1705.07556 (2017) - [i2]Qiang Zhang, Zhen Yang, Qiangqiang Yuan, Jie Li, Xiaoshuang Ma, Huanfeng Shen, Liangpei Zhang:
Learning a Dilated Residual Network for SAR Image Despeckling. CoRR abs/1709.02898 (2017) - [i1]Qiangqiang Yuan, Yancong Wei, Xiangchao Meng, Huanfeng Shen, Liangpei Zhang:
A Multi-Scale and Multi-Depth Convolutional Neural Network for Remote Sensing Imagery Pan-Sharpening. CoRR abs/1712.09809 (2017) - 2016
- [j20]Jie Li, Qiangqiang Yuan, Huanfeng Shen
, Xiangchao Meng, Liangpei Zhang:
Hyperspectral Image Super-Resolution by Spectral Mixture Analysis and Spatial-Spectral Group Sparsity. IEEE Geosci. Remote. Sens. Lett. 13(9): 1250-1254 (2016) - [j19]Linwei Yue, Huanfeng Shen
, Jie Li, Qiangqiang Yuan, Hongyan Zhang, Liangpei Zhang:
Image super-resolution: The techniques, applications, and future. Signal Process. 128: 389-408 (2016) - [j18]Huanfeng Shen
, Li Peng, Linwei Yue, Qiangqiang Yuan, Liangpei Zhang:
Adaptive Norm Selection for Regularized Image Restoration and Super-Resolution. IEEE Trans. Cybern. 46(6): 1388-1399 (2016) - [j17]Xinxin Liu, Xiliang Lu
, Huanfeng Shen
, Qiangqiang Yuan, Yuling Jiao, Liangpei Zhang:
Stripe Noise Separation and Removal in Remote Sensing Images by Consideration of the Global Sparsity and Local Variational Properties. IEEE Trans. Geosci. Remote. Sens. 54(5): 3049-3060 (2016) - [j16]Yuan Xie, Yanyun Qu, Dacheng Tao, Weiwei Wu, Qiangqiang Yuan, Wensheng Zhang:
Hyperspectral Image Restoration via Iteratively Regularized Weighted Schatten p-Norm Minimization. IEEE Trans. Geosci. Remote. Sens. 54(8): 4642-4659 (2016) - [j15]Jie Li, Qiangqiang Yuan
, Huanfeng Shen
, Liangpei Zhang:
Noise Removal From Hyperspectral Image With Joint Spectral-Spatial Distributed Sparse Representation. IEEE Trans. Geosci. Remote. Sens. 54(9): 5425-5439 (2016) - [c10]Yancong Wei, Qiangqiang Yuan, Huanfeng Shen
, Liangpei Zhang:
A universal remote sensing image quality improvement method with deep learning. IGARSS 2016: 6950-6953 - [c9]Huifang Li, Huanfeng Shen
, Qiangqiang Yuan, Hongyan Zhang, Lefei Zhang, Liangpei Zhang:
Quality improvement of hyperspectral remote sensing images: A technical overview. WHISPERS 2016: 1-5 - 2015
- [j14]Linwei Yue, Huanfeng Shen
, Qiangqiang Yuan, Liangpei Zhang:
Fusion of multi-scale DEMs using a regularized super-resolution method. Int. J. Geogr. Inf. Sci. 29(12): 2095-2120 (2015) - [j13]Jie Li, Qiangqiang Yuan, Huanfeng Shen
, Liangpei Zhang:
Hyperspectral image recovery employing a multidimensional nonlocal total variation model. Signal Process. 111: 230-248 (2015) - [c8]Xinghua Li
, Huanfeng Shen
, Huifang Li, Qiangqiang Yuan:
Temporal Domain Group Sparse Representation Based Cloud Removal for Remote Sensing Images. ICIG (3) 2015: 444-452 - [c7]Xiangchao Meng, Huanfeng Shen
, Liangpei Zhang, Qiangqiang Yuan, Huifang Li:
A unified framework for spatio-temporal-spectral fusion of remote sensing images. IGARSS 2015: 2584-2587 - [c6]Xiangchao Meng, Huanfeng Shen
, Huifang Li, Qiangqiang Yuan, Hongyan Zhang, Liangpei Zhang:
Improving the spatial resolution of hyperspectral image using panchromatic and multispectral images: An integrated method. WHISPERS 2015: 1-4 - 2014
- [j12]Xinghua Li
, Huanfeng Shen
, Liangpei Zhang, Hongyan Zhang, Qiangqiang Yuan:
Dead Pixel Completion of Aqua MODIS Band 6 Using a Robust M-Estimator Multiregression. IEEE Geosci. Remote. Sens. Lett. 11(4): 768-772 (2014) - [j11]Huanfeng Shen
, Wennan Zhao
, Qiangqiang Yuan
, Liangpei Zhang:
Blind Restoration of Remote Sensing Images by a Combination of Automatic Knife-Edge Detection and Alternating Minimization. Remote. Sens. 6(8): 7491-7521 (2014) - [j10]Xia Lan, Huanfeng Shen
, Liangpei Zhang, Qiangqiang Yuan:
A spatially adaptive retinex variational model for the uneven intensity correction of remote sensing images. Signal Process. 101: 19-34 (2014) - [j9]Linwei Yue, Huanfeng Shen, Qiangqiang Yuan, Liangpei Zhang:
A locally adaptive L1-L2 norm for multi-frame super-resolution of images with mixed noise and outliers. Signal Process. 105: 156-174 (2014) - [j8]Qiangqiang Yuan, Liangpei Zhang, Huanfeng Shen:
Hyperspectral Image Denoising With a Spatial-Spectral View Fusion Strategy. IEEE Trans. Geosci. Remote. Sens. 52(5): 2314-2325 (2014) - [j7]Hongyan Zhang, Wei He
, Liangpei Zhang, Huanfeng Shen, Qiangqiang Yuan:
Hyperspectral Image Restoration Using Low-Rank Matrix Recovery. IEEE Trans. Geosci. Remote. Sens. 52(8): 4729-4743 (2014) - [j6]Xinghua Li
, Huanfeng Shen, Liangpei Zhang, Hongyan Zhang, Qiangqiang Yuan, Gang Yang:
Recovering Quantitative Remote Sensing Products Contaminated by Thick Clouds and Shadows Using Multitemporal Dictionary Learning. IEEE Trans. Geosci. Remote. Sens. 52(11): 7086-7098 (2014) - [c5]Xiaoshuang Ma, Huanfeng Shen
, Qiangqiang Yuan, Liangpei Zhang:
Spatially adaptive nonlocal total variation for PolSAR despeckling. IGARSS 2014: 1670-1673 - [c4]Qiangqiang Yuan, Li Yan, Jiancheng Li, Liangpei Zhang:
Remote sensing image super-resolution via regional spatially adaptive total variation model. IGARSS 2014: 3073-3076 - 2013
- [j5]Xia Lan, Liangpei Zhang, Huanfeng Shen, Qiangqiang Yuan, Huifang Li:
Single image haze removal considering sensor blur and noise. EURASIP J. Adv. Signal Process. 2013: 86 (2013) - [j4]Qiangqiang Yuan, Liangpei Zhang, Huanfeng Shen:
Regional Spatially Adaptive Total Variation Super-Resolution With Spatial Information Filtering and Clustering. IEEE Trans. Image Process. 22(6): 2327-2342 (2013) - [c3]Jie Li, Chao Zeng, Qiangqiang Yuan, Liangpei Zhang, Huanfeng Shen:
Hyperspectral images reconstruction based super-pixel mapping using cross-channel sparse model. IGARSS 2013: 3498-3501 - [c2]Jie Li, Huanfeng Shen, Qiangqiang Yuan, Liangpei Zhang, Wei Gong:
Hypspectral image denoising via multidimensional nonlocal model. WHISPERS 2013: 1-4 - 2012
- [j3]Qiangqiang Yuan, Liangpei Zhang, Huanfeng Shen:
Multiframe Super-Resolution Employing a Spatially Weighted Total Variation Model. IEEE Trans. Circuits Syst. Video Technol. 22(3): 379-392 (2012) - [j2]Qiangqiang Yuan, Liangpei Zhang, Huanfeng Shen:
Hyperspectral Image Denoising Employing a Spectral-Spatial Adaptive Total Variation Model. IEEE Trans. Geosci. Remote. Sens. 50(10): 3660-3677 (2012) - [c1]Qiangqiang Yuan, Huanfeng Shen, Liangpei Zhang, Xia Lan:
Hypspectral image denoising with a multi-view fusion strategy. WHISPERS 2012: 1-4 - 2010
- [j1]Qiangqiang Yuan, Liangpei Zhang, Huanfeng Shen, Pingxiang Li:
Adaptive Multiple-Frame Image Super-Resolution Based on U-Curve. IEEE Trans. Image Process. 19(12): 3157-3170 (2010)
Coauthor Index
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