Wei He (Research Scientist at RIKEN-AIP)

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Publications


[ Preprints, Book Chapters, Journals, Conferences, Theses ]

An asterisk (*) stands for the corresponding author.

Preprints

Book Chapters

  1. Wei He, Danfeng Hong, Giuseppe Scarpa, Tatsumi Uezato, and Naoto Yokoya,
    "Multisource Remote Sensing Image Fusion,"
    Deep learning for the Earth Sciences: A comprehensive approach to remote sensing, climate science and geosciences,
    In John Wiley & Sons , 2021.
    [link] [cite]

Journals

  1. Yuyan Liu, Wei He,Hongyan Zhang,
    "GRiD: Guided Refinement for Detector-free Multimodal Image Matching",
    TIP, 2024.

  2. Xiao An, Wei He, Jiaqi Zou, Guangyi Yang, Hongyan Zhang,
    "Pretrain a Remote Sensing Foundation Model by Promoting Intra-instance Similarity",
    TGRS, 2024. [papar]

  3. Jiaqi Zou, Wei He, Hongyan Zhang,
    "PSFormer: Pyramid Superpixel Transformer for Hyperspectral Image Classification",
    TGRS, 2024. [papar]

  4. Mofan Cheng, Wei He, Zhuohong Li, Guangyi Yang, Hongyan Zhang,
    "Harmony in diversity: Content cleansing change detection framework for very-high-resolution remote-sensing images",
    ISPRS, 2024. [papar]

  5. Yong Chen, Jinshan Zeng, Wei He*, Xi-Le Zhao, Tai-Xiang Jiang, Qing Huang,
    "Fast Large-Scale Hyperspectral Image Denoising via Non-Iterative Low-Rank Subspace Representation",
    TGRS, 2024. [papar]

  6. Linxin Li, Ting Hu, Guangyi Yang, Wei He, Hongyan Zhang,
    "High-resolution comprehensive regional development mapping using multisource geographic data",
    Sustainable Cities and Society, 2024.

  7. Wei He*, Zongliang Wu, Naoto Yokoya, and Xin Yuan,
    "An Interpretable and Flexible Fusion Prior to Boost Hyperspectral Imaging Reconstruction",
    Information Fusion, 2024.

  8. He Huang, Wei He*, Hongyan Zhang, Yu Xia, and Liangpei Zhang,
    "STFDiff: Remote sensing image spatiotemporal fusion with diffusion models",
    Information Fusion, 2024.

  9. Yang Zhou, Yong Chen, Jinshan Zeng, Wei He, and Min Huang,
    "Unidirectional Spatial and Spectral Smoothed Tensor Ring Decomposition for Hyperspectral Image Denoising and Destriping",
    GRSL, 2024.

  10. Jiaxing Sun, Wei He, and Hongyan Zhang,
    "G2LDIE: Global-to-Local Dynamic Information Enhancement Framework for Weakly Supervised Building Extraction from Remote Sensing Images",
    TGRS, 2024.

  11. Wei He, Mengyuan Wang, Yong Chen, and Hongyan Zhang,
    "An Unsupervised Dehazing Network with Hybrid Prior Constraints for Hyperspectral Image",
    TGRS, 2024.

  12. Guoying Yin, Wei He, Wenbin Liu, Xiangyu Liu, Yu Xia, Hongyan Zhang,
    "Drought stress and its characteristics in China from 2001 to 2020 considering vegetation response and drought creep effect",
    Journal of Hydrology: Regional Studies, 2024.

  13. Guoying Yin, Wei He, Xiangyu Liu, Yu Xia, Hongyan Zhang,
    "Wetting or greening? Probing the global trends in Vegetation Condition Index (VCI)",
    JAG, 2024. [papar]

  14. dongyi Li , dong Chu , Xiaobin Guan , Wei He , Huanfeng Shen,
    "Adaptive Regularized Low-Rank Tensor Decomposition for Hyperspectral Image Denoising and Destriping",
    TGRS, 2024.

  15. Yu Xia, Wei He, Qi Huang, Guoying Yin, Wenbin Liu, Hongyan Zhang,
    "CRformer: Multi-modal data fusion to reconstruct cloud-free optical imagery",
    JAG, 2024. [code] [SMILE-CR数据]

  16. Man Liu, Wei He, Hongyan Zhang,
    "WPS: A whole phenology-based spectral feature selection method for mapping winter crop from time-series images",
    ISPRS Journal of Photogrammetry and Remote Sensing, 2024.

  17. Jiepan Li, Wei He*, Weinan Cao, Liangpei Zhang, Hongyan Zhang,
    "UANet: an Uncertainty-Aware Network for Building Extraction from Remote Sensing Images",
    TGRS, 2024. [papar] [github] (ESI highly cited paper)

  18. Yong Chen, Wenzhen Lai, Wei He*, Xi-Le Zhao, Jinshan Zeng*,
    "Hyperspectral Compressive Snapshot Reconstruction via Coupled Low-Rank Subspace Representation and Self-Supervised Deep Network",
    TIP, 2024. [papar] (highly cited paper)

  19. Yong Chen, Maolin Chen, Wei He, Jinshan Zeng, Min Huang, Yu-Bang Zheng,
    "Thick Cloud Removal in Multitemporal Remote Sensing Images via Low-Rank Regularized Self-Supervised Network",
    TGRS, 2024. [papar]

  20. Yu Xia, Wei He, Qi Huang, Hongyu Chen, He Huang, Hongyan Zhang,
    "SOSSF: Landsat-8 image synthesis on the blending of Sentinel-1 and MODIS data",
    TGRS, 2024. [papar] [code] [SMILE数据]

  21. Xiaobin Xu, Wei He, Hongyan Zhang,
    "Random hierarchical model for estimation of wheat yield in the North China Plain at different spatial scales",
    Field Crops Research, 2023. [papar]

  22. Xiaobin Xu, Wei He, Hongyan Zhang,
    "A novel habitat adaptability evaluation indicator (HAEI) for predicting yield of county-level winter wheat in China base on multisource climate data from 2001 to 2020",
    International Journal of Applied Earth Observation and Geoinformation (JAG), 2023.

  23. Yujun Guo, Wei He, Yu Xia, Hongyan Zhang,
    "Blind Single-Image-based Thin Cloud Removal using a Cloud Perception Integrated Fast Fourier Convolutional Network",
    ISPRS, 2023. [papar]

  24. Xiangyu Liu, Wei He, Wenbin Liu, Guoying Yin, Hongyan Zhang,
    "Mapping annual center-pivot irrigated cropland in Brazil during the 1985–2021 period with cloud platforms and deep learning",
    ISPRS, 2023.

  25. Yuyan Liu, Wei He, and Hongyan Zhang,
    "GLoCNet:Robust Feature Matching with Global-local Consistency Network for Remote Sensing Image Registration",
    TGRS, 2023. [code] [papar]

  26. Lei Hu, Wei He*, Liangpei Zhang, and Hongyan Zhang,
    "Cross-Domain Meta-Learning under Dual Adjustment Mode for Few-Shot Hyperspectral Image Classification",
    TGRS, 2023. [code] [papar]

  27. Zhuohong Li, Wei He, Mofan Cheng, Jingxin Hu, Guangyi Yang, and Hongyan Zhang,
    "SinoLC-1: the first 1-meter resolution national-scale land-cover map of China created with the deep learning framework and open-access data",
    Earth System Science Data, 2023. [papar] [data]

  28. Xueyao Xiao, Wei Zhang, Yi Chang, Shuning Cao, Wei He, Houzhang Fang, and Luxin Yan,
    "Content-Aware Subspace Low-Rank Tensor Recovery for Hyperspectral Image Restoration",
    TGRS, 2023.

  29. Yong Chen, Xinfeng Gui, Jinshan Zeng, Xi-Le Zhao, and Wei He,
    "Combining Low-Rank and Deep Plug-and-Play Priors for Snapshot Compressive Imaging",
    IEEE Transactions on Neural Networks and Learning Systems, 2023. [link]

  30. Mengyuan Wang, Wei He*, Hongyan Zhang,
    "A Spatial-Spectral Transformer Network with Total Variation Loss for Hyperspectral Image Denoising",
    GRSL, 2023.

  31. Xiangyu Liu, Wei He, Hongyan Zhang,
    "Cross-region plastic greenhouse segmentation and counting using the style transfer and dual-task networks",
    Computers and Electronics in Agriculture, 2023.

  32. Renwei Dian, Tianci Shan, Wei He, Haibo Liu,
    "Spectral Super-Resolution via Model-Guided Cross-Fusion Network",
    IEEE Transactions on Neural Networks and Learning Systems, 2023.

  33. Wei He, Tatsumi Uezato, Naoto Yokoya,
    "Interpretable Deep Attention Prior for Image Restoration and Enhancement",
    IEEE Transactions on Computational Imaging, 2023.

  34. Hao Zhang, Ting-Zhu Huang, Xi-Le Zhao, Wei He, Jae Kyu Choi, Yu-Bang Zheng,
    "Hyperspectral Image Denoising: Reconciling Sparse and Low-Tensor-Ring-Rank Priors in the Transformed Domain",
    TGRS, 2023.

  35. Ziqiao Wang, Hongyan Zhang, Wei He, Liangpei Zhang,
    "Cross-phenological-region crop mapping framework using Sentinel-2 time series Imagery: A new perspective for winter crops in China",
    ISPRS Journal of Photogrammetry and Remote Sensing, 2022.

  36. Yong Chen, Wei He, Xi-Le Zhao, Ting-Zhu Huang, Jinshan Zeng, Hui Lin,
    "Exploring Nonlocal Group Sparsity Under Transform Learning for Hyperspectral Image Denoising",
    TGRS, 2022.

  37. Jingyi Cai, Wei He, Hongyan Zhang,
    "Anisotropic Spatial–Spectral Total Variation Regularized Double Low-Rank Approximation for HSI Denoising and Destriping",
    TGRS, 2022.

  38. Jiaqi Zou, Wei He,Hongyan Zhang,
    "LESSFormer: Local-Enhanced Spectral-Spatial Transformer for Hyperspectral Image Classification",
    TGRS, 2022.

  39. Hongyan Zhang, Fangfang Xiao, Wei He, Zhaoyang Chai, Hong-Tat Ewe,
    "Multi-year automated mapping and price analysis of garlic in main planting areas of China using time series remote sensing images",
    JSTARS, 2022.

  40. Huilin Xu, Wei He, Liangpei Zhang,Hongyan Zhang,
    "Unsupervised Spectral-Spatial Semantic Feature Learning for Hyperspectral Image Classification",
    TGRS, 2022.

  41. Yong Chen, Jinshan Zeng, Wei He, Xi-Le Zhao,Ting-Zhu Huang,
    "Hyperspectral and Multispectral Image Fusion Using Factor Smoothed Tensor Ring Decomposition",
    TGRS, 2021.

  42. Yong Chen, Ting-Zhu Huang, Wei He, Xi-Le Zhao, Hongyan Zhang, Jinshan Zeng,
    "Hyperspectral Image Denoising Using Factor Group Sparsity-Regularized Nonconvex Low-Rank Approximation",
    TGRS, 2021. [pdf] [code]

  43. Wei He, Yong Chen, Naoto Yokoya, Chao Li, and Qibin Zhao,
    "Hyperspectral super-resolution via coupled tensor ring factorization",
    Pattern Recognition, 2021. [arXiv] [link] [code]

  44. Wei He*, Naoto Yokoya, Xin Yuan,
    "Fast Hyperspectral Image Recovery of Dual-Camera Compressive Hyperspectral Imaging via Non-iterative Subspace-based Fusion,"
    TIP2021. [arXiv] [code]

  45. Xianwei Zheng, Xiujie Wu, Linxi Huan, Wei He*, Hongyan Zhang,
    "A Gather-to-Guide Network for Remote Sensing Semantic Segmentation of RGB and Auxiliary Image",
    TGRS2021. [pdf]

  46. Linxi Huan, Nan Xue, Xianwei Zheng, Wei He, Jianya Gong, Gui-Song Xia,
    "Unmixing Convolutional Features for Crisp Edge Detection",
    TPAMI2021.(Accepted) [arXiv] [code]

  47. Yuting Wan, Ailong Ma, Wei He, Yanfei Zhong,
    "Accurate Multi-Objective Low-Rank and Sparse Model for Hyperspectral Image Denoising Method",
    IEEE Transactions on Evolutionary Computation 2021. (ESI highly cited paper)

  48. Hongyan Zhang, Jinyi Cai, Wei He*, Liangpei Zhang,
    "Double Low-Rank Matrix Decomposition for Hyperspectral Image Denoising and Destriping",
    TGRS2021. (ESI highly cited paper) [paper]

  49. Danfeng Hong, Wei He*, Naoto Yokoya, Jing Yao, Lianru Gao*, Liangpei Zhang, Jocelyn Chanussot, Xiao Xiang Zhu,
    "Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing",
    IEEE Geoscience and Remote Sensing Maganize 2021. (ESI hot paper, highly cited paper) [arXiv]

  50. Naoto Yokoya, Kazuki Yamanoi, Wei He, Gerald Baier, Bruno Adriano, Hiroyuki Miura, Satoru Oishi,
    "Breaking the Limits of Remote Sensing by Simulation and Deep Learning for Flood and Debris Flow Mapping",
    TGRS2020. (highly cited paper) [arXiv]

  51. Wei He, Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao, Hongyan Zhang, Liangpei Zhang,
    "Non-local Meets Global: An Integrated Paradigm for Hyperspectral Restoration",
    TPAMI 2020. (highly cited paper)  [NGmeet_denoising]  [NGmeet_CS] [arXiv]

  52. Yong Chen, Ting-Zhu Huang*, Wei He*, Naoto Yokoya, Xi-Le Zhao,
    "Hyperspectral Image Compressive Sensing Reconstruction Using Subspace-based Non-local Tensor Ring Decomposition",
    TIP 2020. [pdf]

  53. Yu-Bang Zheng, Ting-Zhu Huang, Xi-Le Zhao, Yong Chen, Wei He,
    "Double-Factor-Regularized Low-Rank Tensor Factorization for Mixed Noise Removal in Hyperspectral Image",
    TGRS 2020. [code]

  54. Gerald Baier, Wei He, Naoto Yokoya,
    "Robust nonlocal low-rank SAR time series despeckling considering speckle correlation by total variation regularization",
    TGRS 2020. [code]

  55. Tatsumi Uezato, Naoto Yokoya, and Wei He,
    “Illumination invariant hyperspectral image unmixing based on a digital surface model”,
    TIP 2020.

  56. Hongyan Zhang, Lu Liu, Wei He*, and Liangpei Zhang,
    “Hyperspectral Image Denoising With Total Variation Regularization and Nonlocal Low-Rank Tensor Decomposition”,
    TGRS 2019. (highly cited paper) [paper]

  57. Yong Chen, Wei He*, Naoto Yokoya, Ting-Zhu Huang, and Xi-Li Zhao,
    “Non-local Tensor Ring Decomposition for Hyperspectral Image Denoising”,
    TGRS 2019. [code]

  58. Yong Chen, Wei He*, Naoto Yokoya*, and Ting-Zhu Huang,
    “Blind Cloud and Cloud Shadow Removal of Multitemporal Images Based on Total Variation Regularized Low-Rank Sparsity Decomposition”,
    ISPRS Journal of Photogrammetry and Remote Sensing 2019. [code]

  59. Yong Chen, Wei He*, Naoto Yokoya, and Ting-Zhu Huang,
    “Hyperspectral Image Restoration Using Weighted Group Sparsity Regularized Low-Rank Tensor Decomposition”,
    IEEE Transactions on Cybernetics (TCYB) 2019. (highly cited paper) [code]

  60. Wei He, Naoto Yokoya, Longhao Yuan and Qibin Zhao,
    “Remote sensing image reconstruction using tensor ring completion and total-variation”,
    TGRS 2019. [code]

  61. Huilin Xu, Hongyan Zhang*, Wei He* and Liangpei Zhang,
    “Superpixel-based spatial-spectral dimension reduction for hyperspectral imagery classification”,
    Neurocomputing, 2019.

  62. W. He*, and N. Yokoya*,
    “Multi-Temporal Sentinel-1 and-2 Data Fusion for Optical Image Simulation,”
    ISPRS International Journal of Geo-Information, vol. 7, no. 10, 2018.

  63. W. He, H. Zhang, H. Shen, and L. Zhang,
    “Hyperspectral Image Denoising Using Local Low-Rank Matrix Recovery and Global Spatial-Spectral Total Variation,”
    IEEE J. Sel.Topics Appl. Earth Observ. Remote Sens., vol. 11, no. 3, pp. 713-729, 2018. (ESI highly cited paper) [code]

  64. W. He, H. Zhang, L. Zhang,
    “Total Variation Regularized Reweighted Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing,”
    IEEE Trans. Geosci. Remote Sens., vol. 55, no. 7, pp. 3909-3921, 2017. (highly cited paper) [code]

  65. W. He, H. Zhang, L. Zhang, W. Philips, W. Liao,
    "Weighted Sparse Graph Based Dimensionality Reduction for Hyperspectral Images",
    IEEE Geoscience and Remote Sensing Letters, pp. 686-690, May 2016.

  66. W. He, H. Zhang, L. Zhang,
    "Sparsity-Regularized Robust Non-Negative Matrix Factorization for Hyperspectral Unmixing",
    IEEE J. Sel.Topics Appl. Earth Observ. Remote Sens., vol. 9, pp. 4267-4279, 2016. [code]

  67. W. He, H. Zhang, L. Zhang, H. Shen,
    "Total-Variation-Regularized Low-rank Matrix Factorization for Hyperspectral Image Restoration",
    IEEE Trans. Geosci. Remote Sens., vol. 54, pp. 178-188, Jan. 2016. (highly cited paper) [code]

  68. W. He, H. Zhang, L. Zhang, H. Shen,
    "Hyperspectral Image Denoising via Noise-Adjusted Iterative Low-Rank Matrix Approximation",
    IEEE J. Sel.Topics Appl. Earth Observ. Remote Sens., vol. 8, no. 6, pp. 3050 - 3061, 2015. [code]

  69. H. Zhang, W. He, L. Zhang, H. Shen, Q. Yuan,
    "Hyperspectral Image Restoration Using Low-Rank Matrix Recovery",
    IEEE Trans. Geosci. Remote Sens., vol. 52, no. 8, pp. 4729-4743, 2014. (ESI hot paper, highly cited paper) [code]

Conferences

  1. Zhuohong Li#, Wei He#, Jiepan Li, Fangxiao Lu, Hongyan Zhang
    "Learning without Exact Guidance: Updating Large-scale High-resolution Land Cover Maps from Low-resolution Historical Labels",
    CVPR poster (spotlight, 11.9%), 2024.  [paper]

  2. Wei He#, Quanming Yao#, Naoyo Yokoya, Tatsumi Uezato, Hongyan Zhang, Liangpei Zhang
    "Spectrum-aware and Transferable Architecture Search for Hyperspectral Image Restoration",
    ECCV, 2022.  [paper]  [slides]  [video]

  3. Ziqiao Wang, Hongyan Zhang*, Wei He*, Liangpei Zhang,
    "Phenology Alignment Network: A Novel Framework for Cross-Regional Time Series Crop Classification",
    CVPRW, 2021. [paper]

  4. Tatsumi Uezato, Danfeng Hong, Naoto Yokoya, and Wei He,
    "Guided Deep Decoder: Unsupervised Image Pair Fusion",
    ECCV, 2020, spotlight. [paper] [code]

  5. Wei He,Quanming Yao, Chao Li, Naoto Yokoya, Qibin Zhao,
    "Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising",
    CVPR, 2019. (oral, 288/1300/5165)  [slides] [paper]

  6. Chao Li, Wei He, Longhao Yuan, Zhun Sun, Qibin Zhao,
    "Guaranteed Matrix Completion under Multiple Linear Transformations",
    CVPR, 2019. (oral, 288/1300/5165)  [slides]

  7. Wei He*, Longhao Yuan, Naoto Yokoya,
    "Total-variation-regularized tensor ring completion for remote sensing image reconstruction",
    ICASSP, 2019.

  8. W. He, H. Zhang, L. Zhang,
    "Hyperspectral Unmixing Using Total Variation Regularized Reweighted Sparse Non-Negative Matrix Factorization",
    IEEE International Geoscience and Remote Sensing Symposium (IGRASS 2016), Beijing, China, 10–15 July, 2016.

  9. H. Zhang, W. He, W. Liao, R. Luo, and L. Zhang,
    "Exploring the Low-rank Property of Hyperspectral Imagery: A Technical Overview ",
    WHISPERS'16, Los Angeles, America, 21–24 July, 2016.

  10. W. He, H. Zhang, L. Zhang, H. Shen,
    "A Noise-Adjusted Iterative Randomized Singular Value Decomposition Method for Hyperspectral Image Denoising",
    IGRASS 2014, Quebec, Canada, 13–18 July, 2014. (2014 IEEE GARSS Student Paper Contest Top 3)  [slides]

Theses

  1. Wei He
    Hyperspectral Image Mixed Noise Analysis Using Low Rank and Sparse Based Method .
    PHD Thesis, Wuhan University 2017. [pdf] >