Publications [ Google Scholar ]

2025

1. F. Gao, X. Jin, X. Zhou*, J. Dong and Q. Du, "MSFMamba: Multi-Scale Feature Fusion State Space Model for Multi-Source Remote Sensing Image Classification," IEEE Transactions on Geoscience and Remote Sensing, 2025. [PDF] [Code@Github]

2. F. Gao, S. Liu, C. Gong, X. Zhou*, J. Wang, J. Dong, Qian Du, "Prototype-Based Information Compensation Network for Multi-Source Remote Sensing Data Classification"， IEEE Transactions on Geoscience and Remote Sensing, 2025. [PDF] [Code@Github]

3. F. Gao, M. Fu, J. Cao*, J. Dong and Q. Du, "Adaptive Frequency Enhancement Network for Remote Sensing Image Semantic Segmentation," IEEE Transactions on Geoscience and Remote Sensing, 2025. [PDF] [Code@Github]

4. J. Zhang, F. Gao*, Y. Gan, J. Dong and Q. Du, "Frequency-Compensated Network for Daily Arctic Sea Ice Concentration Prediction," IEEE Transactions on Geoscience and Remote Sensing, 2025. [PDF] [Code@Github]

5. J. Lin, F. Gao*, L. Qi, J. Dong, Q. Du and X. Gao, "Dynamic Cross-Modal Feature Interaction Network for Hyperspectral and LiDAR Data Classification," IEEE Transactions on Geoscience and Remote Sensing, 2025. [PDF] [Code@Github]

6. Y. Liu, Y. Ju, Y. Rao, H. Fan, J. Dong*, F. Gao*, Q. Du, "Aerial Multi-View Stereo via Adaptive Depth Range Inference and Normal Cues," IEEE Transactions on Geoscience and Remote Sensing, 2025. [PDF]

7. Y. Zhao, F. Gao*, X. Jin, J. Dong, and Q. Du, "Dynamic Frequency Feature Fusion Network for Multi-Source Remote Sensing Data Classification," IEEE Geoscience and Remote Sensing Letters, 2025. [PDF] [Code@Github]

8. Z. Wang, F. Gao*, J. Dong and Q. Du, "Global and Local Attention-Based Transformer for Hyperspectral Image Change Detection," IEEE Geoscience and Remote Sensing Letters, 2025. [PDF] [Code@Github]

9. H. Dong, X. Du, Z. Li, X. Li, Z. Ma, F. Gao, "Dynamic Bilinear Fusion Network for Synthetic Aperture Radar Image Change Detection," IEEE Geoscience and Remote Sensing Letters, 2025. [PDF]

2024

1. Y. Zhao, T. Celik, N. Liu, F. Gao and H. -C. Li*, "SSLChange: A Self-supervised Change Detection Framework Based on Domain Adaptation," IEEE Transactions on Geoscience and Remote Sensing, 2024. [PDF] [Code@Github]

2. Y. Meng, F. Gao*, E. Rigall, J. Dong* and Q. Du, "Physical Knowledge Analytic Framework for Sea Surface Temperature Prediction," IEEE Transactions on Geoscience and Remote Sensing, 2024. [PDF]

3. L. Hu, S. Li, J. Ruan, F. Gao*, "SemiPSENet: A Novel Semi-supervised Change Detection Network for Remote Sensing Images," IEEE Transactions on Geoscience and Remote Sensing, 2024. [PDF]

4. T. Zhang, Q. Cai*, F. Gao, L. Qi, J. Dong*, "Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting," International Joint Conference on Artificial Intelligence (IJCAI), 2024. [PDF] [Code@Github]

5. H. Luo, F. Gao*, J. Dong, L. Qi, "Hierarchical Attention and Parallel Filter Fusion Network for Multi-Source Data Classification," IEEE Geoscience and Remote Sensing Letters, 2024. [PDF]

6. J. Xie, F. Gao, X. Zhou*, J. Dong, "Wavelet-based Bi-dimensional Aggregation Network for SAR Image Change Detection," IEEE Geoscience and Remote Sensing Letters, 2024. [PDF]

7. S. Hu, F. Gao, X. Zhou*, J. Dong, Q. Du, "Hybrid Convolutional and Attention Network for Hyperspectral Image Denoising," IEEE Geoscience and Remote Sensing Letters, 2024. [PDF]

8. L. Qi, M. Yue, F. Gao*, B. Cao, J. Dong and X. Gao, "Deep Attention-Guided Spatial–Spectral Network for Hyperspectral Image Unmixing," IEEE Geoscience and Remote Sensing Letters, 2024. [PDF]

9. S. Tao, Y. Li, F. Gao, H. Fan, J. Dong*, Y. Gan*, "Multi-Scale Spatial Features and Temporal Attention Mechanisms: Advancing the Accuracy of ENSO Prediction," Intelligent Marine Technology and Systems, 2024. [PDF]

2023

1. J. Lin, F. Gao*, X. Shi, J. Dong, Q. Du, “SS-MAE: Spatial-Spectral Masked Auto-Encoder for Multi-Source Remote Sensing Image Classification,” IEEE Transactions on Geoscience and Remote Sensing, 2023. [PDF] [Code@Github]

2. Y. Meng, E. Rigall, X. Chen, F. Gao*, J. Dong* and S. Chen, "Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction," IEEE Transactions on Neural Networks and Learning Systems, 2023. [PDF] [Code@github]

3. Y. Meng, F. Gao*, E. Rigall, R. Dong, J. Dong* and Q. Du, "Physical Knowledge-Enhanced Deep Neural Network for Sea Surface Temperature Prediction," IEEE Transactions on Geoscience and Remote Sensing, 2023. [PDF]

4. M. Wang, F. Gao*, J. Dong, H. -C. Li and Q. Du, "Nearest Neighbor-Based Contrastive Learning for Hyperspectral and LiDAR Data Classification," IEEE Transactions on Geoscience and Remote Sensing, 2023. [PDF] [Code@Github]

5. L. Qi, Z. Chen, F. Gao*, J. Dong*, X. Gao and Q. Du, "Multiview Spatial-Spectral Two-Stream Network for Hyperspectral Image Unmixing," IEEE Transactions on Geoscience and Remote Sensing, 2023. [PDF]

6. Y. Rao, Y. Ju, S. Wang, F. Gao, H. Fan and J. Dong*, "Learning Enriched Feature Descriptor for Image Matching and Visual Measurement," IEEE Transactions on Instrumentation and Measurement, 2023. [PDF] [Code@Github]

7. H. Zhang, Z. Lin, F. Gao*, J. Dong, Q. Du and H. -C. Li, "Convolution and Attention Mixer for Synthetic Aperture Radar Image Change Detection," IEEE Geoscience and Remote Sensing Letters, 2023. [PDF] [Code@Github]

8. L. Qi, X. Qin, F. Gao*, J. Dong and X. Gao, “SAWU-Net: Spatial Attention Weighted Unmixing Network for Hyperspectral Images,” IEEE Geoscience and Remote Sensing Letters, 2023. [PDF]

9. H. Pan, F. Gao, J. Dong and Q. Du, "Multiscale Adaptive Fusion Network for Hyperspectral Image Denoising," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023. [PDF] [Code@Github]

2022

1. Y. Gan, F. Gao, J. Dong*, S. Chen, "Arbitrary-Scale Texture Generation from Coarse-Grained Control," IEEE Transactions on Image Processing, 2022. [PDF] [Code@Github]

2. Y. Gan, X. Dong, H. Zhou, F. Gao and J. Dong*, "Learning the Precise Feature for Cluster Assignment," IEEE Transactions on Cybernetics, 2022. [PDF]

3. L. Qi, F. Gao*, J. Dong*, X. Gao and Q. Du, "SSCU-Net: Spatial–Spectral Collaborative Unmixing Network for Hyperspectral Images," IEEE Transactions on Geoscience and Remote Sensing, 2022. [PDF]

4. W. -S. Hu, H. -C. Li, R. Wang, F. Gao, Q. Du and A. Plaza, "Pseudo Complex-Valued Deformable ConvLSTM Neural Network With Mutual Attention Learning for Hyperspectral Image Classification," IEEE Transactions on Geoscience and Remote Sensing, 2022. [PDF]

5. J. Wang, F. Gao*, J. Dong, Q. Du and H. Li, "Change Detection from Synthetic Aperture Radar Images via Dual Path Denoising Network," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022. [PDF]

6. D. Meng, F. Gao*, J. Dong, Q. Du and H. -C. Li, "Synthetic Aperture Radar Image Change Detection via Layer Attention-Based Noise-Tolerant Network," IEEE Geoscience and Remote Sensing Letters, 2022. [PDF] [Code@Github]

7. J. Wang, F. Gao*, J. Dong, S. Zhang and Q. Du, "Change Detection From Synthetic Aperture Radar Images via Graph-Based Knowledge Supplement Network," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022. [PDF] [Code@github]

8. X. Qu, F. Gao*, J. Dong, Q. Du and H. -C. Li, "Change Detection in Synthetic Aperture Radar Images Using a Dual-Domain Network," IEEE Geoscience and Remote Sensing Letters, 2022. [PDF] [Code@github]

9. T. Zhang, F. Gao*, J. Dong and Q. Du, "Remote Sensing Image Translation via Style-Based Recalibration Module and Improved Style Discriminator," IEEE Geoscience and Remote Sensing Letters, 2022. [PDF] [Code@github]

2021

1. J. Wang, F. Gao*, J. Dong and Q. Du, "Adaptive DropBlock-Enhanced Generative Adversarial Networks for Hyperspectral Image Classification," IEEE Transactions on Geoscience and Remote Sensing, 2021. [PDF] [Code@github]

2. Y. Gao, F. Gao*, J. Dong, Q. Du and H. -C. Li, "Synthetic Aperture Radar Image Change Detection via Siamese Adaptive Fusion Network," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021. [PDF] [Code@github]

3. Y. Gao, F. Gao*, J. Dong and H. -C. Li, "SAR Image Change Detection Based on Multiscale Capsule Network," IEEE Geoscience and Remote Sensing Letters, 2021. [PDF] [Code@github]

Former

1. Y. Gao, F. Gao*, J. Dong and S. Wang, "Change Detection From Synthetic Aperture Radar Images Based on Channel Weighting-Based Deep Cascade Network," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019. [PDF] [Code@Github]

2. Y. Gao, F. Gao*, J. Dong and S. Wang, "Transferred Deep Learning for Sea Ice Change Detection From Synthetic Aperture Radar Images," IEEE Geoscience and Remote Sensing Letters, 2019. [PDF] [Code@Github]

3. F. Gao, X. Wang, Y. Gao, J. Dong* and S. Wang, "Sea Ice Change Detection in SAR Images Based on Convolutional-Wavelet Neural Networks," IEEE Geoscience and Remote Sensing Letters, 2019. [PDF] [Code@Github]

4. F. Gao, Q. Wang, J. Dong*, S. Wang, "Spectral and spatial classification of hyperspectral images based on random multi-graphs," Remote Sensing, 2018. [PDF] [Code@github]

5. F. Gao, X. Wang, J. Dong*, S. Wang, "SAR image change detection based on frequency domain analysis and random multi-graphs," Journal of Applied Remote Sensing, 2018. [PDF] [Code@github]

6. F. Gao, J. Dong*, B. Li, Q. Xu, C. Xie, "Change detection from synthetic aperture radar images based on neighborhood-based ratio and extreme learning machine," Journal of Applied Remote Sensing, 2016. [PDF] [Code@github]

7. F. Gao, J. Dong*, B. Li and Q. Xu, "Automatic Change Detection in Synthetic Aperture Radar Images Based on PCANet," IEEE Geoscience and Remote Sensing Letters, 2016. [PDF] [Code@github]