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Danfeng Hong's Projects

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Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Xiaoxiang Zhu. An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing, IEEE TIP, 2019.

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Jian Kang, Danfeng Hong, Jialin Liu, Gerald Baier, Naoto Yokoya, Begüm Demir. Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration, IEEE TNNLS, 2020.

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Danfeng Hong, Naoto Yokoya, Jian Xu, Xiaoxiang Zhu. Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification, ECCV, 2018.

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Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution, ECCV, 2020. (PyTorch)

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Jian Kang, Ruben Fernandez-Beltran, Danfeng Hong, Jocelyn Chanussot, Antonio Plaza. Graph Relation Network: Modeling Relations between Scenes for Multi-Label Remote Sensing Image Classification and Retrieval, IEEE TGRS, 2020.

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Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.

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Behnood Rasti, Danfeng Hong, Renlong Hang, Pedram Ghamisi, Xudong Kang, Jocelyn Chanussot, Jon Atli Benediktsson. Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep (Overview and Toolbox), IEEE GRSM, 2020,

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Danfeng Hong, Lianru Gao, Renlong Hang, Bing Zhang, Jocelyn Chanussot. Deep Encoder-Decoder Networks for Classification of Hyperspectral and LiDAR Data, IEEE GRSL, 2020.

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Danfeng Hong, Xin Wu, Lianru Gao, Bing Zhang, Jocelyn Chanussot. Learning Locality-Constrained Sparse Coding for Spectral Enhancement of Multispectral Imagery, IEEE GRSL, 2020.

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Danfeng Hong, Naoto Yokoya, Xiaoxiang Zhu. Learning a Robust Local Manifold Representation for Hyperspectral Dimensionality Reduction, IEEE JSTARS, 2017.

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SULoRA: Danfeng Hong, Xiaoxiang Zhu. Subspace Unmixing with Low-Rank Attribute Embedding for Hyperspectral Data Analysis, IEEE JSTSP, 2018.

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Xin Wu, Danfeng Hong, Jocelyn Chanussot. Convolutional Neural Networks for Multimodal Remote Sensing Data Classification, IEEE Transactions on Geoscience and Remote Sensing, 2021.

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Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Xiaoxiang Zhu. CoSpace: Common Subspace Learning From Hyperspectral-Multispectral Correspondences, IEEE TGRS, 2019.

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Yao, Jing, Bing Zhang, Chenyu Li, Danfeng Hong, and Jocelyn Chanussot. "Extended vision transformer (ExViT) for land use and land cover classification: A multimodal deep learning framework." IEEE Transactions on Geoscience and Remote Sensing, 2023..

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Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE Trans. Geosci. Remote Sens., 2021, 59(7): 5966-5978.

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Danfeng Hong, Xin Wu, Pedram Ghamisi, Jocelyn Chanussot, Naoto Yokoya, Xiaoxiang Zhu. Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification, IEEE TGRS, 2020, 58(6): 3791-3808.

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Lianru Gao, Danfeng Hong, Jing Yao, Bing Zhang, Paolo Gamba, Jocelyn Chanussot. Spectral Superresolution of Multispectral Imagery with Joint Sparse and Low-Rank Learning, IEEE TGRS, 2020.

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Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang. More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification, IEEE TGRS, 2021, 59(5): 4340-4354.

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Matlab code of the TGRS paper entitled "Sparsity-Enhanced Convolutional Decomposition: A Novel Tensor-Based Paradigm for Blind Hyperspectral Unmixing".

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Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Spectralformer: Rethinking hyperspectral image classification with transformers, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021

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Xin Wu, Danfeng Hong, Jocelyn Chanussot. UIU-Net: U-Net in U-Net for Infrared Small Object Detection, IEEE Trans. Image. Process., 2022, 32: 364-376.

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Danfeng Hong, Lianru Gao, Jing Yao, Naoto Yokoya, Jocelyn Chanussot, Uta Heiden, Bing Zhang. Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing, IEEE TNNLS, 2021.

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Hong, D., Zhang, B., Li, X., Li, Y., Li, C., Yao, J., Yokoya, N., Li, H., Ghamisi, P., Jia, X., Plaza, A. and Gamba, P., Benediktsson, J., Chanussot, J. (2024). SpectralGPT: Spectral remote sensing foundation model. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024. DOI:10.1109/TPAMI.2024.3362475.

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Li, Chenyu, Bing Zhang, Danfeng Hong, Jun Zhou, Gemine Vivone, Shutao Li, and Jocelyn Chanussot. "CasFormer: Cascaded transformers for fusion-aware computational hyperspectral imaging." Information Fusion, 2024, 102408.

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Yuxuan Li, Danfeng Hong, Chenyu Li, Jing Yao, Jocelyn Chanussot. HD-Net: High-resolution decoupled network for building footprint extraction via deeply supervised body and boundary decomposition, ISPRS Journal of Photogrammetry and Remote Sensing, 2024.

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Danfeng Hong, Naoto Yokoya, Nan Ge, Jocelyn Chanussot, Xiaoxiang Zhu. Learnable Manifold Alignment (LeMA): A Semi-supervised Cross-modality Learning Framework for Land Cover and Land Use Classification, ISPRS JP&RS, 2019.

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Danfeng Hong, JIngliang Hu, Jing Yao, Jocelyn Chanussot, Xiao Xiang Zhu. Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model, ISPRS JP&RS, 2021.

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