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Hyperspectral fusion
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Hyperspectral fusion
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Achievement: Starstruck

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JiaxinLiCAS/README.md

$\color{red}{我的微信(WeChat): BatAug，欢迎交流与合作}$

Hi there, I'm Jiaxin Li (李嘉鑫 in Chinese), supervised by Lianru Gao 导师 高连如

I am a PhD candidate at the Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.

🔭 Research-wise, I mainly focus on:

  • hyperspectral and multispectral data fusion

📫 How to reach me:

  • ❗Wechat: BatAug

Reports:

  • [1] 西安交通大学《基于无监督深度学习的高光谱图像超分辨率融合研究》报告 Static Badge

Publications:

  • [1] Jiaxin Li, Ke Zheng, Lianru Gao, Li Ni, Min Huang, Jocelyn Chanussot. Model-informed Multi-stage Unsupervised Network for Hyperspectral Image Super-resolution[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62, 1-17. ( ESI Highly cited Papers ) Paper link Code
  • [2] Jiaxin Li, Ke Zheng, Zhi Li, Lianru Gao, Xiuping Jia. X-shaped Interactive Autoencoders with Cross-Modality Mutual Learning for Unsupervised Hyperspectral Image Super-resolution[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, 1-17. ( ESI Highly cited Papers ) Paper link
  • [3] Jiaxin Li, Danfeng Hong, Lianru Gao, Jing Yao, Ke Zheng, Bing Zhang, Jocelyn Chanussot. Deep learning in multimodal remote sensing data fusion: A comprehensive review[J]. International Journal of Applied Earth Observation and Geoinformation, 2022, 112: 102926. ( ESI Highly cited Papers and ESI Hot Paper) Paper link
  • [4] Jiaxin Li, Ke Zheng, Jing Yao, Lianru Gao, Danfeng Hong. Deep unsupervised blind hyperspectral and multispectral data fusion[J]. IEEE Geoscience and Remote Sensing Letters, 2022, 19: 1-5. (ESI Highly cited Papers) Paper link Code
  • [5] Lianru Gao, Jiaxin Li, Ke Zheng, Xiuping Jia. Enhanced Autoencoders with Attention-embedded Degradation Learning for Unsupervised Hyperspectral Image Super-resolution[J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, 1-17. (ESI Highly cited Papers) Paper link
  • [6] Jiaxin Li, Ke Zheng, Wengu Liu, Zhi Li, Haoyang Yu, Li Ni. Model-Guided Coarse-to-Fine Fusion Network for Unsupervised Hyperspectral Image Super-Resolution[J]. IEEE Geoscience and Remote Sensing Letters, 2023, 20:1-5. Paper link Code
  • [7] Jiaxin Li, Ke Zheng, Ni L, Lianru Gao. A New Unsupervised Network for Hyperspectral and Multispectral Image Fusion[C]. 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2023: 1-5. Paper link
  • [8] Jiaxin Li, Ke Zheng, Lianru Gao, Li Ni. Interactive Autoencoders With Degradation Constraint For Hyperspectral Super-Resolution[C]. IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2023: 7447-7450. Paper link
  • [9] Jiaxin Li, Ke Zheng, Ni L, Lianru Gao. Dual U-Nets autoencoders for unsupervised hyperspectral image super-resolution[C]. International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023). SPIE, 2023, 12815: 132-137. (Excellent PAPERS Award) Paper link
  • [10] Bing Zhang, Lianru Gao, Jiaxin Li, Danfeng Hong, Ke Zheng. Advances and prospects in hyperspectral and multispectral remote sensing image super-resolution fusion[J]. Acta Geodaetica et Cartographica Sinica, 2023, 52(7), 1074-1089. [张兵，高连如，李嘉鑫，洪丹枫，郑珂，高/多光谱遥感图像超分辨率融合研究进展与展望，测绘学报，2023，52(7)：1074-1089] Paper link
  • [11] Zhi Li, Ke Zheng, Jiaxin Li, Chengrui Li, Lianru Gao. Cross-Semantic Heterogeneous Modeling Network for Hyperspectral Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 1-16. Paper link
  • [12] Wenjuan Zhang, Ruiqi Sun, Zhen Li, Lianru Gao, Jiaxin Li, Bin Zhao, Bing Zhang. Non-local Similarity Based Attentive Graph Convolution Network for Remote Sensing Image Super-Resolution[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 1-16. Paper link Code
  • [13] Minghua Wang, Danfeng Hong, Zhu Han, Jiaxin Li, Jing Yao, Lianru Gao, Bing Zhang, Jocelyn Chanussot. Tensor decompositions for hyperspectral data processing in remote sensing: A comprehensive review[J]. IEEE Geoscience and Remote Sensing Magazine, 2023. (ESI Highly cited Papers) Paper link
  • [14] Chunyu Zhu, Shangqi Deng, Jiaxin Li, Ying Zhang, Liwei Gong, Liangbo Gao, Na Ta, Shengbo Chen, Qiong Wu. Hyperspectral and multispectral remote sensing image fusion using SwinGAN with joint adaptive spatial-spectral gradient loss function[J]. International Journal of Digital Earth, 2023, 16(1): 3580-3600. Paper link
  • [15] Qiong Ran, Qiuhui Wang, Ke Zheng, Jiaxin Li. Multiscale Attention Spatiotemporal Fusion Model Based on Pyramidal Network Constraints[J]. IEEE Geoscience and Remote Sensing Letters, 2024, 21:1-5. Paper link
  • [16] Minghua Wang, Bing Zhang, Jiaxin Li, Longfei Ren, Jocelyn Chanussot. A Feature Fusion-Based Transformer Network for Hyperspectral Super-Resolution[C]. 2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2023: 1-5. Paper link
  • [17] Haoyang Yu, Zhixin Ling, Ke Zheng, Jiaxin Li, Siqi Liang, Lianru Gao. Unsupervised Dynamic Convolutional Neural Network Model for Hyperspectral and Multispectral Image Fusion[C]//IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2023: 6270-6273. Paper link
  • [18] Haoyang Yu, Zhixin Ling, Ke Zheng, Lianru Gao, Jiaxin Li, Jocelyn Chanussot. Unsupervised Hyperspectral and Multispectral Image Fusion With Deep Spectral-Spatial Collaborative Constraint[J]. IEEE Transactions on Geoscience and Remote Sensing, 2024, 62: 1-16. Paper link Dataset

Pinned Loading

  1. Xian-Jiaotong-University-PPT Xian-Jiaotong-University-PPT Public

    西安交通大学报告PPT

  2. EU2ADL_TGRS EU2ADL_TGRS Public

    Enhanced Autoencoders With Attention-Embedded Degradation Learning for Unsupervised Hyperspectral Image Super-Resolution, TGRS. (PyTorch)

  3. XINet_TGRS XINet_TGRS Public

    X-Shaped Interactive Autoencoders With Cross-Modality Mutual Learning for Unsupervised Hyperspectral Image Super-Resolution, TGRS. (PyTorch)

  4. UDALN_GRSL UDALN_GRSL Public

    Deep Unsupervised Blind Hyperspectral and Multispectral Data Fusion, GRSL. (PyTorch)

    Python 38 6

  5. M2U-Net M2U-Net Public

    Model-informed Multi-stage Unsupervised Network for Hyperspectral Image Super-resolution, TGRS. (PyTorch)

    Python 12

  6. UMC2FF_GRSL UMC2FF_GRSL Public

    Model-guided Coarse-to-fine Fusion Network for Unsupervised Hyperspectral Image Super-resolution, GRSL. (PyTorch)

    Python 9