学校主页 / 学校邮箱
师资队伍
姓名:高飞
性别:男
职务:博导/硕导
职称:教授
通信地址:北航新主楼F座524
联系电话:82317240
邮箱:feigao2000@163.com
——> 个人概况

2005年获北京航空航天大学信号与信息处理专业工学博士学位。主要从事雷达目标检测、识别、图像处理、深度学习的工程应用等方面的研究工作。主持多项国家自然科学基金、航空基金和总装预研项目,完成863、重点实验室基金多项国防预研项目和院所合作项目。发表学术论文60余篇,被SCIE)收录40篇次,google学术引用500余次,授权国家发明专利8项。担任BICS2019BICS2018APSAR 2009等国际会议的程序委员会委员,国家自然基金评审专家,国家级一流课程网评专家,教育部硕士学位论文评阅专家,IEEE Trans on GRSIEEE Geoscience and Remote Sensing LettersIEEE Signal Processing LettersIEEE journal of Selected Topics in Applied Earth Observations and Remote Sensing等刊物的审稿专家。      

——> 教授课程

数字信号处理、自动控制原理、线性系统理论、Control Theory

——> 主要研究领域

遥感图像的目标检测与识别、合成孔径雷达信号处理、深度学习的工程应用

——> 正在研究项目

自然科学基金项目:生物启发式的雷达图像半监督识别关键技术研究

**:图像处理及解译

——> 最近发表论著

1. Yishan He, Fei Gao, etc, Learning Polar Encodings for Arbitrary-Oriented Ship Detection in SAR Images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021,MarVol 143846-3859IF3.784.

2. Jun Tu, Fei Gao, etc, Airport Detection in SAR Images via Salient Line Segment Detector and Edge-Oriented Region Growing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021,JanVol 14314-326IF3.784.

3. Fei Ma, Fei Gao, etc, A novel biologically-inspired target detection method based on saliency analysis for synthetic aperture radar (SAR) imagery, Neurocomputing 2020AugVol 40266-79 IF5.719.

4. Zhenyu Yue, Fei Gao, Qingxu Xiong, Jun Wang, Amir Hussain, Huiyu Zhou, A Novel Attention Fully Convolutional Network Method for Synthetic Aperture Radar Image Segmentation, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, AugVol 13:4585-4598IF3.784.

5. Fei Ma, Fei Gao, etc, Weakly Supervised Segmentation of SAR Imagery Using Superpixel and Hierarchically Adversarial CRF, Remote Sensing,2019, Vol 11No5512IF4.848

6. Fei Gao, Teng Huang, etc, A Novel Semi-Supervised Learning Method Based on Fast Search and Density Peaks, Complexity, 2019, 6876173IF2.833.

7. Fei Gao, Teng Huang, etc, A New Algorithm of SAR Image Target Recognition Based on Improved Deep Convolutional Neural Network, Cognitive Computation June 2018IF5.418.

8. Fei Gao, Fei Ma, etc, Visual Saliency Modeling for River Detection in High-Resolution SAR Imagery, IEEE Access2018Vol 6No11000-1014IF3.367.

9. Fei Gao, Zhenyu Yue, etc, A Novel Active Semi-Supervised Convolutional Neural Network Algorithm for SAR Image Recognition, Computational Intelligence And NeuroscienceVol 2017 3105053IF3.633.

10. Fei Gao, Jialing You, etc, A novel target detection method for SAR images based on shadow proposal and saliency analysis, Neurocomputing 2017DecVol 267 No6220-231IF5.719.

11. Fei Gao, Teng Huang, etc, Dual-Branch Deep Convolution Neural Network for Polarimetric SAR Image Classification, Applied Sciences-Basel2017MayVol 7No5447IF2.679.

12. Fei Gao, Fei Ma, etc, Biologically-Inspired Progressive Enhancement Target Detection from Heavy Cluttered SAR Image, Cognitive Computation2016October Vol 8No5955-966IF5.418.

13. F. Gao, X. Xue, etc, A SAR Image Despeckling Method Based on Two-Dimensional S Transform Shrinkage, IEEE Transactions on Geoscience and Remote Sensing, 2016, Vol 54, No 5: 3025-3034IF5.6.

——> 获得主要荣誉

北京市优秀毕设论文引导教师

校级优秀硕士论文引导教师

工程硕士实习实践优秀成果获得者引导教师

优秀主讲教师

优秀英文课授课教师

校级青年教师讲课比赛一等奖

“我爱我师”十佳教师提名奖

凡舟教育基金获得者

优秀班主任

北航蓝天科技新星

保密工作先进个人

教代会提案工作先进个人

本科教学标兵

研究生教学标兵