马飞,副教授,硕士生导师

时间:2020-03-31浏览:1304

马飞,工学博士,见习副教授。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、机器学习、合成孔径雷达(SAR)信号处理、SAR图像解译。在国际期刊上发表SCI论文10余篇,在国际会议LSMS-ICSEE 2017上获得“会议最佳论文”提名,获得2020年“中科星图”高分遥感图像解译大赛“高分辨率可见光图像精细化标注”项目第一名。


电子邮箱:mafei@buct.edu.cn


招生专业 Admissions Major

硕士招生:欢迎电子信息工程/人工智能/通信工程等相关专业的同学报考!

学术硕士:

信息与通信工程02图像解译与智能处理)

专业硕士:

电子信息(新一代电子信息技术-02遥感信息处理)


主要科研项目 Research Projects

项目名称

项目来源

盐田析盐区域极化散射建模与精细分类方法研究

国家自然科学基金

星载SAR成像与智能解译演示系统

横向课题

SAR数据GPU实时处理程序开发

横向课题

海杂波抑制算法的并行处理技术

横向课题

主要论文Research Paper

  1. Zhang Fan, Sun Xujiao, Ma Fei*, et al. Superpixelwise likelihood ratio test statistic for PolSAR data and its application to built-up area extraction[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2024, 209: 233-248.

  2. Fei Ma, Xuejiao Sun, Fan Zhang, Yongsheng Zhou and Hengchao Li, "What Catch Your Attention in SAR Images: Saliency Detection Based on Soft-Superpixel Lacunarity Cue," in IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-17, 2023, Art no. 5200817, doi: 10.1109/TGRS.2022.3231253.

  3. Fei Ma, Fan Zhang, Deliang Xiang, et al. Fast Task-Specific Region Merging for SAR Image Segmentation[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022.

  4. Fei Ma, Deliang Xiang, et al. Weakly Supervised Deep Soft Clustering for Flood Identification in SAR Images[J]. IEEE Geoscience and Remote Sensing Letters 19:1-5, 2022

  5. Jiaxin Tang, Deliang Xiang, Fan Zhang, Fei Ma*, et al. Incremental SAR Automatic Target Recognition with Error Correction and High PlasticityIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022.

  6. Fei Ma, Fan Zhang, Qiang Yin, et al. Fast SAR Image Segmentation With Deep Task-Specific Superpixel Sampling and Soft Graph Convolution[J]. IEEE Transactions on Geoscience and Remote Sensing, 2021.

  7. 马飞,张帆,周勇胜等,“中科星图杯”第四届高分遥感图像解译大赛《高分辨率可见光图像精细化标注》课目一等奖,高分辨率对地观测学术年会组委会。2020.

  8. 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, 402: 66-79.

  9. 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.

  10. 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.

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

  12. 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.

  13. 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.

  14. Gao F, He Y, Wang J, Ma Fei, et al. Pixel-wise segmentation of SAR imagery using encoder-decoder network and fully-connected CRF[C]. International Conference on Brain Inspired Cognitive Systems. Springer, Cham, 2019: 155-165.

  15. Du W, Zhang F, Ma Fei, et al. Improving SAR Target Recognition with Multi-Task Learning[C]. IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 284-287.

  16. Liu Y, Zhang F, Ma Fei, et al. Incremental Multitask SAR Target Recognition with Dominant Neuron Preservation[C]. IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 754-757.


研究成果Research Achievements