高峰,中国海洋大学,副教授,硕士生导师,中国计算机学会(CCF)高级会员,CCF YOCSEF青岛2018-2020学术秘书,CCF中国海洋大学学生分会指导主任。2008年获重庆大学软件工程专业学士学位,2015年获北京航空航天大学计算机应用技术专业博士学位。2015年加入中国海洋大学信息科学与工程学院。主要研究领域为多媒体计与模式识别,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,实现自然图像和遥感图像的高效和智能化解译。在 IEEE TGRS、JSTARS、GRSL、MTAP、JARS、PCM、IJCNN 等期刊和会议发表学术论文30余篇。

作为负责人,主持国家自然科学基金、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、青岛市博士后应用研究项目、中国海洋大学青年教师科研专项目基金、中国海洋大学博士启动基金等10余科研项目。欢迎优秀的同学加入 前沿理论研究小组 ,一起探索未知的世界,创造知识,享受快乐!

课题组主要针对多媒体数据和遥感图像进行研究,利用人工智能、数据挖掘、模式识别、计算机视觉等领域的技术方法,实现数据的高精度、高效解译及分析。我们的理念为“团结勤奋,共同进步”。本小组最看重是否在“理念”上合拍,特别是你是否真的对图像处理与分析感兴趣,是否真的愿意投入200%的热情。联系的最佳方式是EMAIL(gaofeng [at] ouc.edu.cn),通常会在24小时内回复。

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小组新闻

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代表性论文

代表性期刊论文
  1. Junjie Wang, Feng Gao*, Junyu Dong, Qian Du. Adaptive dropblock enhanced generative adversarial networks for hyperspectral image classification, IEEE Transactions on Geoscience and Remote Sensing [PDF] [Code@github].
  2. Yunhao Gao, Feng Gao*, Junyu Dong, Heng-Chao Li. SAR image change detection based on multiscale Capusule Network, IEEE Geoscience and Remote Sensing Letters, 2020. [PDF] [Code@github]
  3. Yunhao Gao, Feng Gao*, Junyu Dong, Shengke 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, vol. 12, no. 11, pp. 4517-4529, 2019. [PDF] [Code@github]
  4. Yunhao Gao, Feng Gao*, Junyu Dong, Shenke Wang. Transferred deep learning for sea ice change detection from synthetic aperture radar Images. IEEE Geoscience and Remote Sensing Letters, 2019. [PDF] [Code@github]
  5. Feng Gao, Xiao Wang, Yunhao Gao, Junyu Dong, Shengke Wang. Sea ice change detection in SAR images based on convolutional-wavelet neural networks. IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 8, 2019. [PDF] [Code@github]
  6. Feng Gao, Qun Wang, Junyu Dong, Qizhi Xu. Spectral and spatial classification of hyperspectral images based on random multi-graphs. Remote Sensing, vol. 10, no. 8, 1271, 2018. [PDF] [Code@github]
  7. Feng Gao, Xiao Wang, Junyu Dong, Shengke Wang. SAR image change detection based on frequency domain analysis and random multi-graphs. Journal of Applied Remote Sensing, vol. 12, no. 1, 016010, 2018. [PDF] [Code@github]
  8. Feng Gao, Xiaopeng Liu, Junyu Dong, Guoqiang Zhong, Muwei Jian. Change detection in SAR images based on deep Semi-NMF and SVD networks. Remote Sensing, 2017, 9(5), 435. [PDF]
  9. Xin Sun, Fei Zhou, Junyu Dong, Feng Gao, Quanquan Mu, Xinhua Wang. Encoding Spectral and Spatial Context Information for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, 14(12), 2017. [PDF]
  10. Feng Gao, Junyu Dong, Bo Li, Qizhi Xu, Cui Xie. Change detection from synthetic aperture radar images based on neighborhood-based ratio and extreme learning machine. Journal of Applied Remote Sensing, 10(4), 2016. [PDF] [Code@github]
  11. Feng Gao, Junyu Dong, Bo Li, Qizhi Xu. Automatic Change Detection in Synthetic Aperture Radar Images Based on PCANet. IEEE Geoscience and Remote Sensing Letters, 13(12), 2016. (IF=2.23) [PDF][Code@github]
  12. Feng Gao, Bo Li, Qizhi Xu, Robust aircraft segmentation from vhr images based on bottom-up and top-down cues integration. Journal of Applied Remote Sensing, 10(1), 2016. [PDF]
代表性会议论文
  1. Xiao Wang, Feng Gao, Junyu Dong, Shengke Wang. Sea ice change detection from SAR images based on canonical correlation analysis and contractive autoencoders. Pacific-Rim Conference on Multimedia, pp. 748-757, 2018. [PDF]
  2. Dong Wang, Feng Gao, Junyu Dong, Shengke Wang. Sea ice classification from hyperspectral images based on self-paced boost learning. IGARSS 2018. [PDF] [Code@github]
  3. Yunhao Gao, Feng Gao, Junyu Dong, Shengke Wang. Sea ice change detection in SAR images based on collaborative representation. IGARSS 2018. [PDF]
主要荣誉

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