高峰

发布者:张亚健发布时间:2024-09-17浏览次数:886

  • 1. 完整论文列表请访问谷歌学术主页:https://scholar.google.com.hk/citations?user=k91CLXQAAAAJ 部分论文数据和代码在 github.com/summitgao 提供下载,下面列出2021年以来的代表性论文
  • 2. 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
  • 3. Han Luo, Feng Gao*, Junyu Dong, Lin Qi, Hierarchical Attention and Parallel Filter Fusion Network for Multi-Source Data Classification IEEE Geoscience and Remote Sensing Letters 2024
  • 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
  • 5. 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
  • 6. 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
  • 7. 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
  • 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
  • 9. 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方法" 中国图象图形学报 2024
  • 10. 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
  • 11. 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
  • 12. 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
  • 13. 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
  • 14. L. Qi, Z. Chen, F. Gao*, J. Dong*; X. Gao, Q. Du, "Multiview Spatial-Spectral Two-Stream Network for Hyperspectral Image Unmixing" IEEE Transactions on Geoscience and Remote Sensing 2023
  • 15. M. Wang, F. Gao*, J. Dong, H.-C. Li, Q. Du, "Nearest Neighbor-Based Contrastive Learning for Hyperspectral and LiDAR Data Classification" IEEE Transactions on Geoscience and Remote Sensing 2023 (ESI高被引论文)
  • 16. L. Qi, X. Qin, F. Gao*, J. Dong, X. Gao, "SAWU-Net: Spatial Attention Weighted Unmixing Network for Hyperspectral Images" IEEE Geoscience and Remote Sensing Letters 2023.
  • 17. 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.
  • 18. 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
  • 19. Y. Gan, F. Gao, J. Dong*, S. Chen, "Arbitrary-Scale Texture Generation From Coarse-Grained Control" IEEE Transactions on Image Processing 2022.
  • 20. Y. Gan, X. Dong, H. Zhou, F. Gao and J. Dong*, "Learning the Precise Feature for Cluster Assignment" IEEE Transactions on Cybernetics 2022.
  • 21. 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.
  • 22. 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.
  • 23. D. Meng, F. Gao*, J. Dong, Q. Du, H. -C. Li, "Synthetic Aperture Radar Image Change Detection via Layer Attention-Based Noise-Tolerant Network" IEEE Geoscience and Remote Sensing Letters 2022.
  • 24. 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.
  • 25. 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.
  • 26. 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.
  • 27. 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.
  • 28. 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.(ESI高被引论文
  • 29. 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.(ESI 高被引论文
  • 30. 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.(JSTARS期刊年度最佳论文候选