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Mengdao Xing
Researcher at Xidian University
Publications - 549
Citations - 10244
Mengdao Xing is an academic researcher from Xidian University. The author has contributed to research in topics: Synthetic aperture radar & Radar imaging. The author has an hindex of 44, co-authored 471 publications receiving 7300 citations. Previous affiliations of Mengdao Xing include Chinese Academy of Sciences.
Papers
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Sparse aperture inverse synthetic aperture radar imaging of manoeuvring targets with compensation of migration through range cells
TL;DR: An ISAR imaging method of manoeuvring targets with SA data is proposed, where MTRC compensation and time-varying Doppler are well accounted and an improved orthogonal match pursuit algorithm is implemented to solve the sparsity-driven optimisation for FA data reconstruction from SA-ISAR measurements.
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An Adaptive Hierarchical Detection Method for Ship Targets in High-Resolution SAR Images
TL;DR: This paper proposes an adaptive hierarchical detection method based on a coarse-to-fine mechanism that constructs a new visual attention mechanism to strengthen ship targets and obtain the candidate targets adaptively by the means dichotomy method.
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An Analytical Resolution Evaluation Approach for Bistatic GEOSAR Based on Local Feature of Ambiguity Function
TL;DR: The proposed analytical resolution evaluation approach for GEOSAR based on the local feature of the ambiguity function is validated with simulation data to be of high efficiency and accuracy and demonstrated to be capable of evaluating the resolution for other complex platforms, and of evaluate the 3-D resolution of a SAR system.
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InSAR Phase Denoising: A Review of Current Technologies and Future Directions
TL;DR: In this paper, a comprehensive overview of InSAR phase-denoising methods, classifying the established and emerging algorithms into four main categories, is presented. And the purpose is to provide the necessary guidelines and inspiration to related researchers by promoting the architecture development of inSAR signal processing.
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Coherence improving algorithm for airborne multichannel SAR-GMTI
TL;DR: An algorithm to improve coherence for the multichannel airborne along-track synthetic aperture radar (SAR), which can be used for ground moving target indication (GMTI) by comparing two SAR images obtained from different channels is developed.