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Hyperspectral fusion
🎯
Hyperspectral fusion
142 followers · 62 following

Achievements

Achievement: Starstruck

Achievements

Achievement: Starstruck

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JiaxinLiCAS/README.md

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

我是李嘉鑫，25年毕业于中科院空天信息创新研究院的直博生，导师高连如研究员

我的英文和中文版本个人简历可在此下载，如您需要此简历模板可以通过微信联系我。

My English CV can be downloaded here Static Badge.

My Chinese CV can be downloaded here Static Badge.

2025.09——, 就职于重庆邮电大学 计算机科学与技术学院 文峰副教授 $\color{red}{博后导师：韩军伟教授}$ 【官网，谷歌学术主页】

2020.09-2025.07 就读于中国科学院 空天信息创新研究院 五年制直博生 $\color{red}{导师：高连如研究员}$ 【导师空天院官网，谷歌学术主页】

2016.09-2020.7 就读于重庆大学 土木工程学院 测绘工程专业

From 2025.09, I work at the School of Computer Science and Technology (National Exemplary Software School), Chongqing University of Posts and Telecommunications, as a Wenfeng associate professor. My postdoctoral supervisor is Junwei Han.

From 2020.09 to 2025.07, I am a PhD candidate at the Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China. My supervisor is Lianru Gao.

From 2016.0 to 2020.7, I studied in the school of civil engineering at Chongqing University, Chongqing, China, for a Bachelor of Engineering.

🔭 我的研究方向（Research-wise, I mainly focus on）:

  • 高光谱超分辨率融合（hyperspectral and multispectral data fusion）

📫 如何联系我（How to reach me）:

  • ❗我的微信（Wechat）: BatAug

📫报告PPT（Reports）:

  • [1] 第二届全国信息地理学大会《基于无监督深度学习的高光谱图像超分辨率重建研究》报告 Static Badge
  • [2] 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

📫发表文章（Publications）:

  • $\color{red}{[New]}$ Jin Xu, Yuanchao Su, Xu Sun, Jiaxin Li, Haiwei Li, Jianjian Gao. FusGAT: Graph Attention-Based Fusion Network for Unsupervised Hyperspectral Image Super-Resolution[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025, 18, 11610-11622. Paper link
  • $\color{red}{[New]}$ Jia Jia, Haoyang Yu, Chengjun Wang, Ke Zheng, Jiaxin Li, Jiaochan Hu. Spectral-Spatial Collaborative Pretraining Framework With Multiconstraint Cooperation for Hyperspectral–Multispectral Image Fusion[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025, 18, 11610-11622. Paper link
  • $\color{red}{[New]}$ Qiuhui Wang, Qiong Ran, Ke Zheng, Jiaxin Li.Spatiotemporal Fusion Algorithm Based on Multikernal Adaptive Network[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025, 18, 11941-11952. Paper link
  • $\color{red}{[New]}$ Xiaotong Qi, Yang Xu, Ke Zheng, Jiaxin Li, Le Yu, Yuhang Zhao. A Multistage Semi-Supervised Network for Hyperspectral Super-Resolution[J]. IEEE Transactions on Geoscience and Remote Sensing, 2025，63, 1-17. Paper link
  • $\color{red}{[New]}$ Jiaxin Li, Ke Zheng, Lianru Gao, Zhu Han, Zhi Li, Jocelyn Chanussot. Enhanced Deep Image Prior for Unsupervised Hyperspectral Image Super-resolution[J]. IEEE Transactions on Geoscience and Remote Sensing, 02025, 63, 1-18. ( ESI Highly Cited Papers ) Paper link Code
  • $\color{red}{[New]}$ Ke Zheng, Aiyu Chen, Haoyang Yu, Jiaxin Li, Bing Zhang.Unsupervised Pretraining Framework Guided Hyperspectral and Multispectral Image Fusion[J]. IEEE Geoscience and Remote Sensing Letters, 2025, 22, 1-5. Paper link
  • [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 Code
  • [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 Code
  • [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
  • [19] Sheng Li, Yuanchao Su, Xu Sun, Jiaxin Li, Boyan Li, Jianjian Gao. DMSN: A Deep Multistream Network for Hyperspectral Image Super-Resolution[J]. IEEE Geoscience and Remote Sensing Letters, 2025, 22: 1-5. Paper link Code
  • [20] Dong Chen, Junping Zhang, Jiaxin Li. UNMamba: Cascaded Spatial–Spectral Mamba for Blind Hyperspectral Unmixing[J]. IEEE Geoscience and Remote Sensing Letters, 2025, 22: 1-5. Paper link Code

Pinned Loading

  1. EU2ADL_TGRS EU2ADL_TGRS Public

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

    Python 12 1

  2. XINet_TGRS XINet_TGRS Public

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

    Python 12

  3. UDALN_GRSL UDALN_GRSL Public

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

    Python 47 6

  4. M2U-Net_TGRS M2U-Net_TGRS Public

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

    Python 27 1

  5. UMC2FF_GRSL UMC2FF_GRSL Public

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

    Python 14

  6. EDIP-Net_TGRS EDIP-Net_TGRS Public

    Enhanced Deep Image Prior for Unsupervised Hyperspectral Image Super-resolution, TGRS. (PyTorch)

    Python 27