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Mengdao Xing

Mengdao Xing

D-Index & Metrics

Computer Science

D-Index
67
Citations
16788
World Ranking
2204
National Ranking
300

Research.com Recognitions

  • 2020 - IEEE Fellow For contributions to radar imaging and motion compensation algorithms

Overview

Mengdao Xing is affiliated with Xidian University in China and has a substantial body of research within engineering, particularly focusing on aerospace engineering and related fields.

Their work spans various subfields including:

  • Aerospace Engineering
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Media Technology
  • Electrical and Electronic Engineering

The main topics of Mengdao Xing's research contributions cover:

  • Advanced SAR Imaging Techniques
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Microwave Imaging and Scattering Analysis
  • Radar Systems and Signal Processing
  • Remote-Sensing Image Classification
  • Geophysical Methods and Applications
  • Optical Systems and Laser Technology

They have published extensively in several prominent venues, including:

  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Remote Sensing
  • IEEE Geoscience and Remote Sensing Letters
  • 2021 CIE International Conference on Radar (Radar)

Recent notable papers authored or co-authored by Mengdao Xing include:

  • Sparse Synthetic Aperture Radar Imaging From Compressed Sensing and Machine Learning: Theories, applications, and trends, 2022, IEEE Geoscience and Remote Sensing Magazine
  • FEC: A Feature Fusion Framework for SAR Target Recognition Based on Electromagnetic Scattering Features and Deep CNN Features, 2020, IEEE Transactions on Geoscience and Remote Sensing
  • Motion Compensation/Autofocus in Airborne Synthetic Aperture Radar: A Review, 2021, IEEE Geoscience and Remote Sensing Magazine
  • CRTransSar: A Visual Transformer Based on Contextual Joint Representation Learning for SAR Ship Detection, 2022, Remote Sensing
  • Radar Deception Jamming Recognition Based on Weighted Ensemble CNN With Transfer Learning, 2021, IEEE Transactions on Geoscience and Remote Sensing

Frequent collaborators in their research efforts include:

  • Guang-Cai Sun
  • Yinghui Quan
  • Hanwen Yu
  • Yachao Li
  • Wei Feng

Mengdao Xing was awarded the IEEE Fellow distinction in 2020 for contributions to radar imaging and motion compensation algorithms.

Best Publications

  • Resolution Enhancement for Inversed Synthetic Aperture Radar Imaging Under Low SNR via Improved Compressive Sensing

    Lei Zhang;Mengdao Xing;Cheng-Wei Qiu;Jun Li

  • Motion Compensation for UAV SAR Based on Raw Radar Data

    Mengdao Xing;Xiuwei Jiang;Renbiao Wu;Feng Zhou

  • Achieving Higher Resolution ISAR Imaging With Limited Pulses via Compressed Sampling

    Lei Zhang;Mengdao Xing;Cheng-Wei Qiu;Jun Li

  • Radar HRRP target recognition based on higher order spectra

    Lan Du;Hongwei Liu;Zheng Bao;Mengdao Xing

  • Lv's Distribution: Principle, Implementation, Properties, and Performance

    Xiaolei Lv;Guoan Bi;Chunru Wan;Mengdao Xing

  • Migration through resolution cell compensation in ISAR imaging

    Mengdao Xing;Renbiao Wu;Jinqiao Lan;Zheng Bao

  • Approach for single channel SAR ground moving target imaging and motion parameter estimation

    F. Zhou;R. Wu;M. Xing;Z. Bao

  • Robust Ground Moving-Target Imaging Using Deramp–Keystone Processing

    Guangcai Sun;Mengdao Xing;Xiang-Gen Xia;Yirong Wu

  • A Robust Motion Compensation Approach for UAV SAR Imagery

    Lei Zhang;Zhijun Qiao;Meng-dao Xing;Lei Yang

  • High-Resolution ISAR Imaging by Exploiting Sparse Apertures

    Lei Zhang;Zhi-Jun Qiao;Meng-Dao Xing;Jian-Lian Sheng

  • Sparse Synthetic Aperture Radar Imaging From Compressed Sensing and Machine Learning: Theories, applications, and trends

    Unknown

  • High-Resolution ISAR Imaging With Sparse Stepped-Frequency Waveforms

    Lei Zhang;Zhi-jun Qiao;Mengdao Xing;Yachao Li

  • Imaging of Micromotion Targets With Rotating Parts Based on Empirical-Mode Decomposition

    Xueru Bai;Mengdao Xing;Feng Zhou;Guangyue Lu

  • Eigensubspace-Based Filtering With Application in Narrow-Band Interference Suppression for SAR

    F. Zhou;R. Wu;M. Xing;Z. Bao

  • CRTransSar: A Visual Transformer Based on Contextual Joint Representation Learning for SAR Ship Detection

    Unknown

  • High-speed multi-target detection with narrowband radar

    J. Su;M. Xing;G. Wang;Z. Bao

  • FEC: A Feature Fusion Framework for SAR Target Recognition Based on Electromagnetic Scattering Features and Deep CNN Features

    Jinsong Zhang;Mengdao Xing;Yiyuan Xie

  • High resolution ISAR imaging of high speed moving targets

    M. Xing;R. Wu;Z. Bao

  • Focus Improvement of Highly Squinted Data Based on Azimuth Nonlinear Scaling

    Guangcai Sun;Xiuwei Jiang;Mengdao Xing;Zhi-jun Qiao

  • New Parameter Estimation and Detection Algorithm for High Speed Small Target

    Mengdao Xing;Junhai Su;Genyuan Wang;Zheng Bao

  • Properties of high-resolution range profiles

    Mengdao Xing;Zheng Bao;Bingnan Pei

  • High-Resolution Three-Dimensional Radar Imaging for Rapidly Spinning Targets

    Qi Wang;Mengdao Xing;Guangyue Lu;Zheng Bao

  • Bayesian Inverse Synthetic Aperture Radar Imaging

    Gang Xu;Mengdao Xing;Lei Zhang;Yabo Liu

Frequent Co-Authors

Zheng Bao
Zheng Bao Xidian University
Guang-Cai Sun
Guang-Cai Sun Xidian University
Xiang-Gen Xia
Xiang-Gen Xia University of Delaware
Cheng-Wei Qiu
Cheng-Wei Qiu National University of Singapore
Tat Soon Yeo
Tat Soon Yeo National University of Singapore
Yimin Zhang
Yimin Zhang Temple University
Qing Huo Liu
Qing Huo Liu Eastern Institute of Technology, Ningbo
Yong-Xin Guo
Yong-Xin Guo City University of Hong Kong
Wen-Qin Wang
Wen-Qin Wang University of Electronic Science and Technology of China
Zhangming Zhu
Zhangming Zhu Xidian University

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