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高 峰 ​

中国海洋大学计算机科学与技术学院，副教授

研究兴趣：遥感数据智能分析、人工智能海洋学

E-mail: gaofeng@ouc.edu.cn

微博 / 谷歌学术 / Github / 知乎 / 学院主页 / 英文主页

[2025年2月更新]

🚩 基本信息 ​

😊 Hi，你好！我是高峰，中国海洋大学副教授，中国计算机学会（CCF）高级会员，中国图象图形学会咨询与评议工委会委员，CCF YOCSEF青岛优秀AC，CCF中国海洋大学学生分会指导主任。🏛️ 2008年在重庆大学软件学院获学士学位，2015年在北航计算机学院获博士学位，同年加入中国海洋大学计算机学院。🎯主要研究领域为高光谱图像处理与人工智能海洋学，具体包括人工智能、深度学习、计算机视觉等领域的理论与技术，实现高光谱图像和海洋遥感数据的高效和智能化解译。📜 在 IEEE TIP、TNNLS、TCYB、TGRS、TIM、GRSL、JSTARS、JARS 等期刊和会议发表学术论文90余篇，其中3篇论文入选ESI高引论文。担任Journal of Applied Remote Sensing 期刊编委，研究成果获得山东省自然科学二等奖和青岛市科技进步二等奖。 🍀

🎈 作为负责人，主持国家自然科学基金、国家重点研发计划项目子课题、山东省重点研发计划项目、山东省自然科学基金、中国博士后科学基金特别资助项目、中国博士后科学基金面上项目、青岛市自然科学基金等10余个科研项目。欢迎优秀的同学加入 AI前沿理论研究小组 😁

🌈 课题组长期招收学有余力的三年级本科生提前进入实验室开展学术研究工作。🙋 本团队不考勤打卡，氛围活跃，支持同学们参加学术和科创竞赛，欢迎各位优秀的同学咨询，联系的最佳方式是 📧 EMAIL（gaofeng@ouc.edu.cn），通常会在12小时内回复⏰

🚀 其它快速联系方式：📩微博私信（ 高峰是我啦 ） 🐶知乎私信（ 高峰OUC ） 欢迎随时交流

✨ News ​

  • 2025.03 两篇论文被 IEEE TGRS 录用
  • 2025.02 一篇论文被《计算机学报》录用
  • 2025.01 一篇论文被 IEEE TGRS 录用
  • 2024.11 一篇论文被 IEEE GRSL 录用
  • 2024.09 一篇论文被 IEEE TGRS 录用
  • 2024.09 两篇论文被中国图象图形学报录用
  • 2024.09 三篇论文被北航学报录用
  • 2024.08 本科生罗梒的论文被 IEEE GRSL 录用
  • 2024.07 刘文力获得ChinaMM2024最佳学生论文奖
  • 2024.07 本科生解江葳的论文被IEEE GRSL录用
  • 2024.07 一篇论文被IEEE TGRS录用

🎯 近期代表论文 【更多论文】 ​

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, 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]
  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，2025. [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，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][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]

🎉 主要荣誉 ​

  • 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%

🎁 课程教学 ​

  • 夏季学期，本科生课，《移动软件开发》
  • 秋季学期，本科生课，《软件工程》
  • 秋季学期，研究生课，《学术论文写作与规范》

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