学术论文与专利

📚 代表性学术论文

2025

1. 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]
2. 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]
3. 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]
4. 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]
5. H. Dong, X. Du, Z. Li, X. Li, Z. Ma, Feng Gao, "Dynamic Bilinear Fusion Network for Synthetic Aperture Radar Image Change Detection," IEEE Geoscience and Remote Sensing Letters, 2025. [PDF]
6. 刘文力, 高峰*, 张浩鹏, 董军宇, 吴淳桐，"基于通道变换和Transformer的高光谱图像变化检测方法", 计算机学报，2025.
7. 金学鹏, 高峰*, 石晓晨, 董军宇，"针对多源遥感图像分类的门控跨模态聚合网络", 中国图象图形学报，2024. [PDF]
8. 李相潭, 高峰*, 孙悦, 董军宇, "针对高光谱遥感图像变化检测的混合注意力和双向门控网络"， 中国图象图形学报，2024. [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][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]
10. 胡帅，高峰*，龚卓然，陶盛恩，上官心语，董军宇，"基于Transformer和通道混合并行卷积的高光谱图像去噪"，中国图象图形学报，2024. [PDF]
11. 高峰，孟德森，解正源，亓林，董军宇*，"基于Transformer和动态3D卷积的多源遥感图像分类"， 北京航空航天大学学报，2024. [PDF]
12. 刘晟, 金学鹏, 高峰*, 甘言海，"基于稀疏注意力和可变形融合的多源遥感图像分类方法", 北京航空航天大学学报， 2024. [PDF]
13. 程陆瑶, 林俊彦, 高峰*, 周小伟, "基于双分支Transformer的高光谱和LiDAR数据分类方法"，北京航空航天大学学报，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, vol. 61, pp. 1-15, 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, vol. 34, no. 7, pp. 3357-3370, 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, vol. 61, pp. 1-13, 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, vol. 61, pp. 1-16, 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, vol. 61, pp. 1-16, 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, vol. 20, pp. 1-5, 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, vol. 16, pp. 3045-3059, 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]
9. 王嘉毅，高峰，张天戈，甘言海，"基于小波变换平行注意力的多源遥感图像分类"，北京航空航天大学学报，2023. [Code@Github]
10. 王梓懿，尹嘉豪，黄博斌，高峰，"基于旋转目标感知网络的SAR船舶检测方法"，北京航空航天大学学报，2023.

2022

1. Y. Gan, F. Gao, J. Dong* and S. Chen, "Arbitrary-Scale Texture Generation From Coarse-Grained Control," IEEE Transactions on Image Processing, vol. 31, pp. 5841-5855, 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, vol. 60, 2022, Art no. 5407515. [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, vol. 19, 2022, Art no. 4026505. [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, vol. 19, pp. 1-5, 2022, Art no. 4013405. [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, vol. 19, pp. 1-5, Art no. 8009805, 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, vol. 15, pp. 1823-1836, 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, vol. 15, pp. 2667-2680, 2022. [PDF]

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, vol. 59, no. 6, pp. 5040-5053, 2021. [PDF] [Code@github]
2. 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, vol. 18, no. 3, pp. 484-488, March 2021. [PDF] [Code@github]
3. 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, vol. 14, pp. 10748-10760, 2021. [PDF][Code@Github]

🖼️ 代表性专利

• ZL 202411424937.1 一种可用于海洋目标分析的多视角高光谱图像处理方法，亓林 吴文敏 高峰 董军宇 【审中】
• ZL 202411124234.7 基于全局注意力生成对抗网络的海洋数据扩充方法，甘言海 刘兴国 陶盛恩 董军宇 高峰 周小伟 【审中】
• ZL 202410976951.6 基于内容引导注意力的ENSO预测方法和模型，刘兴国 甘言海 陶盛恩 董军宇 高峰 周小伟 【授权】
• ZL 202410719179.X 一种基于Mamba的北极海冰密集度预测方法，高峰 刘文力 董军宇 甘言海 【授权】
• ZL 202410704941.7 一种基于图神经网络的多源船舶轨迹匹配方法，苏伟 张江南 董军宇 李江涛 刘永硕 【审中】
• ZL 202210564263.X 基于全局动态卷积神经网络的SAR图像变化检测方法，高峰 徐云哲 董军宇 【审中】
• ZL 202111524515.8 基于深度学习的高频区域增强的光度立体三维重建方法，举雅琨 董军宇 高峰 【授权】
• ZL 202111120666.7 基于动态神经网络的多种类农作物叶病识别方法，张江南 董军宇 高峰 王海 李文博 刘永朔 【授权】
• ZL 202011541881.X 基于区域增强卷积神经网络的SAR图像变化检测方法，高峰 曲晓帆 董军宇 赵政达 高琰 【授权】
• ZL 202011541883.9 基于盲噪声估计的高光谱图像去噪方法，高峰 高琰 董军宇 王会金 曲晓帆 【授权】
• ZL 202010056677.2 基于Gabor卷积网络的SAR图像变化检测方法，高峰 张珊 董军宇 吕越 王俊杰 【授权】
• ZL 201910845085.6 基于孪生网络的SAR图像变化检测方法，高峰 高云浩 董军宇 王群 【授权】

🎉 代表性奖励

• 2024年，山东省研究生创新成果奖
• 2024年，大湾区杯粤港澳AI4Science竞赛二等奖
• 2024年，全国成像光谱对地观测学术研讨会优秀论文奖
• 2024年，全国成像光谱对地观测学术研讨会优秀报告奖
• 2024年，遥感青年科学家沙龙优秀报告奖
• 2024年，中国多媒体大会（ChinaMM）最佳学生论文奖
• 2024年，中国海洋大学本科毕设优秀指导教师
• 2023年，硕士生林俊彦获得第七届全国成像光谱对地观测学术研讨会优秀报告奖
• 2023年，硕士生林俊彦获得第三届中国图象图形学报研究生学术论坛突出报告奖
• 2023年，硕士生曲晓帆获得山东省计算机学会优秀硕士学位论文奖
• 2021年，中国海洋大学本科毕设优秀指导教师
• 2021年，第十六届图像图形技术与应用学术会议（IGTA）论文竞赛二等奖
• 2021年，全国水下机器人大赛（线上赛）水下光学目标智能检测赛题TOP8% （39/500）
• 2020年，全国人工智能大赛“华为昇腾杯”AI+遥感影像赛题TOP4% （88/1732）
• 2020年，高分遥感图像解译软件大赛“全极化SAR图像中地物要素自动分类”赛题第6名（TOP 6 / 100）
• 2019年，ChinaMM2019“水下图像增强”技术竞赛三等奖
• 2019年，第五届百度&西安交大大数据竞赛“遥感影像区域功能分类”赛题三等奖2项（TOP 11 / 2312）
• 2019年，第九届“华为杯”中国大学生智能设计竞赛二等奖2项，三等奖1项
• 2018年，第八届“华为杯”中国大学生智能设计竞赛优秀指导教师奖
• 2018年，第八届“华为杯”中国大学生智能设计竞赛二等奖2项，三等奖2项
• 2017年，CCF大数据与计算智能大赛（BDCI）“复杂海情和气象条件下的船只识别”赛题TOP2%
• 2017年，CCF大数据与计算智能大赛（BDCI）“卫星影像的AI分类与识别”赛题TOP5%