maowenfei

  • Education Level: PhD graduate

  • Degree: Doctor of engineering

  • Gender: Male

  • Status: 在岗

  • Alma Mater: 西南交通大学

  • School/Department: 地球科学与工程学院

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    Language: 中文

    Profile

    毛文飞,博士,讲师,香港中文大学博士后,主要从事InSAR误差理论与应用、InSAR数据智能处理方法等研究,包括InSAR大气延迟误差(对流层和电离层)处理、地表多尺度形态时空演变特征分析与机理解译等。主持国家自然基金和西南交通大学优秀博士论文培育项目各1项,参与国家重点研发计划、国家自然科学基金及香港研究资助局(RGC)项目等国家/国际研究项目多项。在《ISPRS P&RS》、《IEEE TGRS》、《JAG》、《RSE》等本学科领域主流学术期刊发表论文近40篇,第一/通讯作者发表论文10余篇,授权国家发明专利3项,实用新型和软著各1项。电气电子工程师学会(IEEE) 会员,在多个国际知名期刊如 RSE、JAG、IEEE JSTARS等担任审稿人。


    招收测绘科学与技术、摄影测量与遥感、地球物理、计算机等专业硕士研究生,课题组将提供一流的科研环境与国内外科研资源,欢迎报考!


    [代表性论文]


    [1] Wenfei Mao, Peifeng Ma, Jun Tang. Mapping High Spatial Resolution Ionospheric Total Electron Content by Integrating Time Series InSAR with IRI Model [J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2024, 214, 153-166.

    [2] Wenfei Mao, Xiaowen Wang, Guoxiang Liu, Saied Pirasteh, Rui Zhang, Hui Lin, Yakun Xie, Wei Xiang, Zhangfeng Ma, and Peifeng Ma. Time Series InSAR Ionospheric Delay Estimation, Correction, and Ground Deformation Monitoring with Reformulating Range Split-Spectrum Interferometry [J]. IEEE Transactions on Geoscience and Remote Sensing, 2023, 61, 1-18.

    [3] Wenfei Mao, Xiaowen Wang, Guoxiang Liu, Rui Zhang, Yueling Shi, and Saied Pirasteh. Estimation and Compensation of Ionospheric Phase Delay for Multi-Aperture InSAR: An Azimuth Split-Spectrum Interferometry Approach [J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60, 1-14.

    [4] Wenfei Mao, Guoxiang Liu, Xiaowen Wang, et al. An InSAR ionospheric correction method based on variance component estimation with integration of MAI and RSS measurements [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14, 1423-1433.

    [5] Wenfei Mao, Xiaowen Wang, Guoxiang Liu, Peifeng Ma, Rui Zhang, Zhangfeng Ma, Jun Tang, and Hui Lin. Ionospheric Phase Delay Correction for Time Series Multi-aperture InSAR Constrained by Polynomial Deformation Model [J]. IEEE Geoscience and Remote Sensing Letters, 2023, 20, 1-5.


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