Wang Feng

Department of Communication Science and Engineering

Professional Title:Associate Professor



Visiting Address:Room B6023, No.2 Building of Interdiscipline


Home Page:http://www.emwlab.fudan.edu.cn

Research Interests

  • Intelligent Target Recognition;

  • Machine Vision;

  • ISAR imaging;

  • Space Borne Remote Sensing;

  • UAV borne Remote Sensing

Academic Positions

  • IEEE Member;

  • Reviewer of IEEE Transactions on Antennas and Propagation, IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Aerospace and Electronic Systems and IGARSS 2016;

  • Session chair of 2016 International Geoscience And Remote Sensing Symposium (IGARSS);

  • Guest Editor for Remote Sensing (Since 2018).



  • Visiting Scholar Program awarded by the graduate school of Fudan University

  • Samsung Scholarship of Fudan University

  • Best Student Paper Award of the 4th Symposium on Microwave Remote Sensing Technologies


Education and Working Experience

  • PLA Information Engineering University, B.E. & M.E.

  • Fudan University, Ph.D. 



  • INFO130015.02 (Undergraduate)

  • INFO130132.01 (Undergraduate)

  • INFO620005 (Graduate)



    1. Kun Tan, Xue Wang, Chao Niu, Feng Wang, Peijun Du, De-Xin Sun, Juan Yuan, Jing Zhang. Vicarious Calibration for the AHSI Instrument of Gaofen-5 With Reference to the CRCS Dunhuang Test Site, IEEE Transactions on Geoscience and Remote Sensing, 2020, In press.
    2. Wan, L.; Lin, Y.; Zhang, H.; Wang, F.; Liu, M.; Lin, H. GF-5 Hyperspectral Data for Species Mapping of Mangrove in Mai Po, Hong Kong. Remote Sens. 2020, 12, 656.
    3. Feng Wang, Feng Xu and Ya-Qiu Jin. Three-Dimensional reconstruction from a multiview sequence of sparse ISAR imaging of a space target, IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 2, pp. 611-620, Feb. 2018.

    4. Feng Wang, Thomas F. Eibert and Ya-Qiu Jin. Simulation of ISAR imaging for a space target and reconstruction under sparse sampling via compressed sensing, IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 6, pp. 3432-3441, June 2015.

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