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 Plasticity. IEEE 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
