高飞 - 北京航空航天大学 - 电子信息工程学院

个人简介

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、航空基金和预研项目，完成863、重点实验室基金多项预研项目和院所合作项目。发表学术论文80余篇，被SCI收录40余篇，google学术引用1000余次，授权国家发明专利8项。担任BICS2019、BICS2018、APSAR 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，教育部本硕博学位论文评阅专家，IEEE Trans on GRS、IEEE Geoscience and Remote Sensing Letters、IEEE Signal Processing Letters和IEEE journal of Selected Topics in Applied Earth Observations and Remote Sensing等刊物的审稿专家。

研究领域

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。

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Fei Ma, Fei Gao, etc, Weakly Supervised Segmentation of SAR Imagery Using Superpixel and Hierarchically Adversarial CRF, Remote Sensing,2019, Vol 11，No5：512 Fei Gao, Teng Huang, etc, A Novel Semi-Supervised Learning Method Based on Fast Search and Density Peaks, Complexity, 2019, 6876173 Fei Gao, Teng Huang, etc, A New Algorithm of SAR Image Target Recognition Based on Improved Deep Convolutional Neural Network, Cognitive Computation， June 2018 Fei Gao, Fei Ma, etc, Visual Saliency Modeling for River Detection in High-Resolution SAR Imagery, IEEE Access，2018，Vol 6，No1：1000-1014 Fei Gao, Zhenyu Yue, etc, A Novel Active Semi-Supervised Convolutional Neural Network Algorithm for SAR Image Recognition, Computational Intelligence And Neuroscience，Vol 2017， 3105053 Fei Gao, Jialing You, etc, A novel target detection method for SAR images based on shadow proposal and saliency analysis, Neurocomputing 2017，Dec，Vol 267， No6：220-231 Fei Gao, Teng Huang, etc, Dual-Branch Deep Convolution Neural Network for Polarimetric SAR Image Classification, Applied Sciences-Basel，2017，May，Vol 7，No5：447 Fei Gao, Fei Ma, etc, Biologically-Inspired Progressive Enhancement Target Detection from Heavy Cluttered SAR Image, Cognitive Computation，2016，October， Vol 8，No5：955-966 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: 3025-3034 Fei Gao, Wenchao Lv, etc，A novel semisupervised support vector machine classifier based on active learning and context information，Multidimensional Systems and Signal Processing，2016，8，Vol 27，No4：969 -988

学术兼职

BICS2019、BICS2018、APSAR 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 GRS、IEEE Geoscience and Remote Sensing Letters、IEEE Signal Processing Letters和IEEE journal of Selected Topics in Applied Earth Observations and Remote Sensing等刊物的审稿专家