Introduction
Fei Ma received the B.S., M.S., and Ph.D. degrees in electronic and information engineering from the Beihang University, Beijing, China, in 2013, 2016, and 2020 respectively. From 2017 to 2018, he was a Research Fellow with Department of Electrical Engineering, McGill University, Montreal, Canada. He is currently an associate professor at the College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China. His research interests include synthetic aperture radar (SAR) image processing, machine learning, artificial intelligence, and target detection.
Research
synthetic aperture radar (SAR) image processing, machine learning, artificial intelligence, and target detection
Teaching
neural network and deep learning（undergraduate） synthetic aperture radar (graduate)
Publications
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. 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. 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. 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 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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.
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