Feng Gao

Hi, I’m Feng Gao, an Associate Professor at Ocean University of China. 🏛️ I received my B.Eng. from the School of Software Engineering, Chongqing University in 2008, and my Ph.D. in Engineering from the School of Computer Science and Engineering, Beihang University in 2015. I joined the School of Computer Science and Technology, Ocean University of China in 2015. 🎯 My research interests focus on hyperspectral image processing and AI-driven oceanography. 📜 I have published 100+ papers in leading journals and conferences such as IEEE TIP, TNNLS, TCYB, TGRS, TIM, GRSL, JSTARS, and JARS. I serve as an Editorial Board Member of the Journal of Applied Remote Sensing. 🍀

E-mail: gaofeng@ouc.edu.cn

Weibo / Google Scholar / Github / Zhihu / 中文主页 /

[Updated by 2026/02]

🎯 Selected Publications 【More】

2026

1. F. Gao*, Z. Gong, W. Liu, Y. Gan, Z. Zheng, J. Dong, Q. Du, "Frequency-Enhanced Hilbert Scanning Mamba for Short-Term Arctic Sea Ice Concentration Prediction," IEEE Transactions on Geoscience and Remote Sensing, 2026. [PDF][Code@Github]

2025

1. W. Chen, F. Gao*, Y. Gan, J. Cao, J. Dong* and Q. Du, "Wavelet-Assisted Mamba for Satellite-Derived Sea Surface Temperature Super-Resolution," IEEE Transactions on Geoscience and Remote Sensing, 2025. [PDF] [Code@Github]
2. 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]
3. 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]
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. 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]
6. 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]
7. 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]
8. 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
9. 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]
10. 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][Code@Github]
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][Code@Github]
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] [Code@Github]
8. 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]
9. 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]

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]
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. 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]
7. 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]
8. H. Zhang, Z. Lin, F. Gao*, J. Dong, Q. Du, H. -C. Li, "Convolution and Attention Mixer for Synthetic Aperture Radar Image Change Detection," IEEE Geoscience and Remote Sensing Letters, vol. 20, pp. 1-5, 2023. [PDF] [Code@Github]

Former

1. Y. Gan, F. Gao, J. Dong* and S. Chen, "Arbitrary-Scale Texture Generation From Coarse-Grained Control," IEEE Transactions on Image Processing, 2022. [PDF]
2. 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]
3. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. 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]
9. 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]
10. 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]