2020 - IEEE Fellow For contributions to radar imaging and motion compensation algorithms
Mengdao Xing mainly focuses on Synthetic aperture radar, Radar imaging, Artificial intelligence, Computer vision and Inverse synthetic aperture radar. His Synthetic aperture radar research incorporates themes from Radar, Algorithm, Motion compensation and Image resolution. His Radar imaging study combines topics from a wide range of disciplines, such as Azimuth, Interference, Optics, Filter and Signal.
Mengdao Xing has included themes like Signal-to-noise ratio and Fast Fourier transform in his Artificial intelligence study. His research in Computer vision intersects with topics in Envelope, Autofocus, Doppler radar and Signal reconstruction. His work deals with themes such as Side looking airborne radar, Scattering, Image formation, Iterative reconstruction and Compressed sensing, which intersect with Inverse synthetic aperture radar.
His primary areas of study are Synthetic aperture radar, Artificial intelligence, Radar imaging, Algorithm and Computer vision. His studies deal with areas such as Inverse synthetic aperture radar, Azimuth, Optics and Side looking airborne radar as well as Synthetic aperture radar. In his research on the topic of Artificial intelligence, Moving target indication is strongly related with Clutter.
His study with Radar imaging involves better knowledge in Radar. His work carried out in the field of Algorithm brings together such families of science as Interpolation, Chirp, Frequency domain, Signal and Trajectory. The study incorporates disciplines such as Focus, Doppler radar, Pulse repetition frequency and Compressed sensing in addition to Computer vision.
Mengdao Xing mainly investigates Synthetic aperture radar, Algorithm, Artificial intelligence, Radar and Computer vision. His biological study spans a wide range of topics, including Azimuth, Signal, Image and Trajectory. His Algorithm research is multidisciplinary, incorporating elements of Wavenumber, Radar imaging, Bistatic radar, Image formation and Iterative reconstruction.
His study in Radar imaging focuses on Inverse synthetic aperture radar in particular. His Artificial intelligence study combines topics in areas such as Clutter, Scattering and Pattern recognition. Computer vision is closely attributed to Subspace topology in his work.
Mengdao Xing focuses on Synthetic aperture radar, Algorithm, Artificial intelligence, Computer vision and Signal processing. His Synthetic aperture radar research includes elements of Signal, Pulse repetition frequency and Optics. His Algorithm study integrates concerns from other disciplines, such as Azimuth and Radar imaging, Bistatic radar.
His Radar imaging research is within the category of Radar. His work investigates the relationship between Artificial intelligence and topics such as Pattern recognition that intersect with problems in Disaster monitoring and Target acquisition. In general Computer vision study, his work on Image resolution often relates to the realm of TOPS, thereby connecting several areas of interest.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Resolution Enhancement for Inversed Synthetic Aperture Radar Imaging Under Low SNR via Improved Compressive Sensing
Lei Zhang;Mengdao Xing;Cheng-Wei Qiu;Jun Li.
IEEE Transactions on Geoscience and Remote Sensing (2010)
Achieving Higher Resolution ISAR Imaging With Limited Pulses via Compressed Sampling
Lei Zhang;Mengdao Xing;Cheng-Wei Qiu;Jun Li.
IEEE Geoscience and Remote Sensing Letters (2009)
Motion Compensation for UAV SAR Based on Raw Radar Data
Mengdao Xing;Xiuwei Jiang;Renbiao Wu;Feng Zhou.
IEEE Transactions on Geoscience and Remote Sensing (2009)
Radar HRRP target recognition based on higher order spectra
Lan Du;Hongwei Liu;Zheng Bao;Mengdao Xing.
IEEE Transactions on Signal Processing (2005)
Approach for single channel SAR ground moving target imaging and motion parameter estimation
F. Zhou;R. Wu;M. Xing;Z. Bao.
Iet Radar Sonar and Navigation (2007)
Migration through resolution cell compensation in ISAR imaging
Mengdao Xing;Renbiao Wu;Jinqiao Lan;Zheng Bao.
IEEE Geoscience and Remote Sensing Letters (2004)
Lv's Distribution: Principle, Implementation, Properties, and Performance
Xiaolei Lv;Guoan Bi;Chunru Wan;Mengdao Xing.
IEEE Transactions on Signal Processing (2011)
Imaging of Micromotion Targets With Rotating Parts Based on Empirical-Mode Decomposition
Xueru Bai;Mengdao Xing;Feng Zhou;Guangyue Lu.
IEEE Transactions on Geoscience and Remote Sensing (2008)
Robust Ground Moving-Target Imaging Using Deramp–Keystone Processing
Guangcai Sun;Mengdao Xing;Xiang-Gen Xia;Yirong Wu.
IEEE Transactions on Geoscience and Remote Sensing (2013)
High-Resolution ISAR Imaging With Sparse Stepped-Frequency Waveforms
Lei Zhang;Zhi-jun Qiao;Mengdao Xing;Yachao Li.
IEEE Transactions on Geoscience and Remote Sensing (2011)
Profile was last updated on December 6th, 2021.
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