World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
13348
World Ranking
9503
National Ranking
1203

Overview

Feng Xu is affiliated with Fudan University in China and has extensive research contributions in the field of engineering, particularly in aerospace engineering, biomedical engineering, computer vision and pattern recognition, electrical and electronic engineering, and environmental engineering.

Their research topics focus primarily on Synthetic Aperture Radar (SAR) applications and techniques, advanced SAR imaging techniques, microwave imaging and scattering analysis, advanced antenna and metasurface technologies, metamaterials and metasurfaces applications, geophysical methods and applications, and antenna design and analysis.

Feng Xu has published numerous papers in leading publication venues, with frequent appearances in:

  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Transactions on Antennas and Propagation
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
  • IEEE Geoscience and Remote Sensing Letters

Some of their recent papers include:

  • FAIR1M: A benchmark dataset for fine-grained object recognition in high-resolution remote sensing imagery (2022), published in ISPRS Journal of Photogrammetry and Remote Sensing
  • Deep Learning Meets SAR: Concepts, models, pitfalls, and perspectives (2021), published in IEEE Geoscience and Remote Sensing Magazine
  • Tunable smart mid infrared thermal control emitter based on phase change material VO2 thin film (2023), published in Applied Thermal Engineering
  • FUSAR-Ship: building a high-resolution SAR-AIS matchup dataset of Gaofen-3 for ship detection and recognition (2020), published in Science China Information Sciences
  • Ultra long infrared metamaterial absorber with high absorption and broad band based on nano cross surrounding (2022), published in Optics & Laser Technology

Feng Xu also has a book publication titled VR/AR and 3D Displays (2021) with Springer Science+Business Media.

The scientist frequently collaborates with other researchers such as Ya-Qiu Jin, Fengming Hu, Haipeng Wang, Hecheng Jia, and Yan Wang, with multiple joint publications.

Best Publications

  • Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

    Xiao Xiang Zhu;Devis Tuia;Lichao Mou;Gui-Song Xia

  • Deep learning in remote sensing: a review

    Xiao Xiang Zhu;Devis Tuia;Lichao Mou;Gui-Song Xia

  • Target Classification Using the Deep Convolutional Networks for SAR Images

    Sizhe Chen;Haipeng Wang;Feng Xu;Ya-Qiu Jin

  • Complex-Valued Convolutional Neural Network and Its Application in Polarimetric SAR Image Classification

    Zhimian Zhang;Haipeng Wang;Feng Xu;Ya-Qiu Jin

  • FAIR1M: A Benchmark Dataset for Fine-grained Object Recognition in High-Resolution Remote Sensing Imagery

    Unknown

  • Polarimetric SAR Image Classification Using Deep Convolutional Neural Networks

    Yu Zhou;Haipeng Wang;Feng Xu;Ya-Qiu Jin

  • Deep Learning Meets SAR: Concepts, Models, Pitfalls, and Perspectives

    Xiaoxiang Zhu;Sina Montazeri;Mohsin Ali;Yuansheng Hua

  • In situ SST Quality Monitor (iQuam)

    Feng Xu;Alexander Ignatov

  • Deorientation theory of polarimetric scattering targets and application to terrain surface classification

    Feng Xu;Ya-Qiu Jin

  • Bidirectional Analytic Ray Tracing for Fast Computation of Composite Scattering From Electric-Large Target Over a Randomly Rough Surface

    Feng Xu;Ya-Qiu Jin

  • Automatic Reconstruction of Building Objects From Multiaspect Meter-Resolution SAR Images

    Feng Xu;Ya-Qiu Jin

  • Imaging Simulation of Polarimetric SAR for a Comprehensive Terrain Scene Using the Mapping and Projection Algorithm

    Feng Xu;Ya-Qiu Jin

  • Detection and Discrimination of Ship Targets in Complex Background From Spaceborne ALOS-2 SAR Images

    Wei Ao;Feng Xu;Yongchen Li;Haipeng Wang

  • Application of deep-learning algorithms to MSTAR data

    Haipeng Wang;Sizhe Chen;Feng Xu;Ya-Qiu Jin

  • A Lightweight Complex-Valued DeepLabv3+ for Semantic Segmentation of PolSAR Image

    Unknown

  • An Active Deep Learning Approach for Minimally Supervised PolSAR Image Classification

    Haixia Bi;Feng Xu;Zhiqiang Wei;Yong Xue

  • Multidimensional Feature Representation and Learning for Robust Hand-Gesture Recognition on Commercial Millimeter-Wave Radar

    Zhaoyang Xia;Yixiang Luomei;Chenglong Zhou;Feng Xu

  • Reciprocal translation between SAR and optical remote sensing images with cascaded-residual adversarial networks

    Shilei Fu;Feng Xu;Ya-Qiu Jin

  • Needles in a Haystack: Tracking City-Scale Moving Vehicles From Continuously Moving Satellite

    Wei Ao;Yanwei Fu;Xiyue Hou;Feng Xu

  • Scattering Enhanced Attention Pyramid Network for Aircraft Detection in SAR Images

    Qian Guo;Haipeng Wang;Feng Xu

  • Evaluation of in situ sea surface temperatures for use in the calibration and validation of satellite retrievals

    Feng Xu;Feng Xu;Alexander Ignatov

  • A Backscattering Model of Rainfall Over Rough Sea Surface for Synthetic Aperture Radar

    Feng Xu;Xiaofeng Li;Peng Wang;Jingsong Yang

  • 4-Bit Optimized Coding Metasurface for Wideband RCS Reduction

    Yasir Saifullah;Abu Bakar Waqas;Guo-Min Yang;Fuheng Zhang

  • Zero-Shot Learning of SAR Target Feature Space With Deep Generative Neural Networks

    Qian Song;Feng Xu

Frequent Co-Authors

Ya-Qiu Jin
Ya-Qiu Jin Fudan University
Xiao Xiang Zhu
Xiao Xiang Zhu Technical University of Munich
Alejandro C. Frery
Alejandro C. Frery Victoria University of Wellington
Lichao Mou
Lichao Mou Technical University of Munich
Robert Wang
Robert Wang Chinese Academy of Sciences
Zongben Xu
Zongben Xu Xi'an Jiaotong University
Tie Jun Cui
Tie Jun Cui Southeast University
Liangpei Zhang
Liangpei Zhang Wuhan University
Richard Bamler
Richard Bamler German Aerospace Center
Yanwei Fu
Yanwei Fu Fudan University

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