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马飞

发布人:免费送彩金白菜网发布时间:2020-04-05浏览次数:479

马飞,博士,副教授,硕导。2020年毕业于北京航空航天大学信号与信息处理专业,获工学博士学位。2017年获国家留学基金委全额资助赴加拿大麦吉尔大学(MCGill)从事图像处理、机器学习方面的访学研究。主要研究方向为人工智能与合成孔径雷达(SAR)信号处理、SAR图像解译交叉融合。在《Cognitive Computation》、《Neurocomputing》和《Remote Sensing》等本领域国际SCI期刊上发表论文7篇,WOS被引总数24,影响因子总和24.237。其中,以第一作者发表SCI论文3篇,以导师一作/学生二作身份发表SCI论文4篇。在International Conference on Signal ProcessingICSP 2014)等重要国际会议上,发表EI检索论文2篇;在国际会议LSMS-ICSEE 2017上获得“会议最佳论文”提名。邮箱:mafei@mail.buct.edu.cn



  

主要论文Research Paper

  1. Fei Ma, Fei Gao, Jun Wang*, Amir Hussain, Huiyu Zhou. A Novel Biologically Inspired Target Detection Method based on Saliency Analysis in SAR Imagery [J]. Neurocomputing. 2020.

  2. Fei Ma, Fei Gao*, Jinping Sun, Huiyu Zhou and Amir Hussain. Attention Graph Convolution Network for Image Segmentation in Big SAR Imagery Data[J]. Remote Sensing. 2019, 11(21): 2586.

  3. Fei Ma, Fei Gao*, Jinping Sun, Huiyu Zhou, Amir Hussain. Weakly Supervised Segmentation of SAR Imagery Using Superpixel and Hierarchically Adversarial CRF[J]. Remote Sensing, 2019, 11(5): 512.

  4. Fei Gao, Fei Ma*, Jun Wang, Jinping Sun, Erfu Yang, Huiyu Zhou. Visual Saliency Modeling for River Detection in High-Resolution SAR Imagery. IEEE Access, 2017, 6: 1000-1014.

  5. Fei Gao*, Fei Ma, Jun Wang, Jinping Sun, Erfu Yang and Huiyu Zhou. Semi-Supervised Generative Adversarial Nets with Multiple Generators for SAR Image Recognition. Sensors 2018, 18(8): 2706.

  6. Fei Gao*, Fei Ma, Xiling Luo, Jun Wang, Jinping Sun. Hierarchical Feature-Based Detection Method for SAR Targets Under Complex Environment[J]. Chinese Journal of Electronics, 2017, 26(3):647-653.

  7. Fei Gao, Fei Ma, Yaotian Zhang*,Jun Wang, Jinping Sun, Erfu Yang, Amir Hussain. Biologically Inspired Progressive Enhancement Target Detection from Heavy Cluttered SAR Images[J]. Cognitive Computation, 2016, 8(5):1-12.



研究成果Research Achievements