Xinghua Li
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Personal Information
- Supervisor of Doctorate Candidates
- Supervisor of Master's Candidates
- Name (Pinyin):Li Xinghua
- E-Mail:
- Administrative Position:Party branch organization committee member
- Business Address:Room 1305, School of Remote Sensing and Information Engineering
- Contact Information:155****4369
- Academic Titles:IEEE JSTARS Associate Editor、IEEE Senior Member
- Other Post:Academic Secretary of Photogrammetry and Remote Sensing Committee, Chinese Society of Surveying and Mapping
- Alma Mater:Wuhan University
- Teacher College:School of Remote Sensing and Information Engineering
- Discipline:
Photogrammetry and Remote Sensing
- Honors and Titles
2022 elected:JAG, Best Reviewer
2022 elected:Remote Sensing Technology and Applicaation, Excellent Reviewer
2021 elected:IEEE JSTARS, Best Reviewer
2021 elected:Journal of Remote Sensing, Excellent Reviewer
2020 elected:The Fourth Teaching Award
- [1]. National Natural Science Foundation of China (NSFC). Deep learning based change detection of optical and SAR images under cloudy and foggy conditions. 42171302. 2021/08/18 to 2025/12/31.
- [2]. National Key Technologies R&D Program. Intelligent sensing technology and system demonstration of regional ecological environment for urban agglomeration. 2019YFB2102900. 2020/01/01 to 2022/12/31.
- [3]. National Key Technologies R&D Program. High-precision simulation and application of global land use evolution using the couple relation between human and land. 2017YFA0604400. 2017/07/01 to 2022/06/30.
- [4]. National Natural Science Foundation of China (NSFC). Thin and thick clouds simultaneous removal method for multi-temporal remote sensing images. 41701394. 2018/01/01 to 2020/12/31.
- [5]. Provincial and municipal technology programs. Cooperative sparse reconstruction of satellite images under cloudy conditions. 2017CFB189. 2017/01/01 to 2018/12/31.
- [6]. Open Research Fund. City monitoring oriented registration method of domestic high-resolution images. ZRZYBWD201903. 2019/01/01 to 2020/12/31.
- [7]. Open Research Fund. Sparse representation based thick cloud removal method of remote sensing images. 2018LSDMIS02. 2018/01/01 to 2019/12/31.
- [8]. Open Research Fund. The generation of daily global total ozone products of Aura. 2016LDE004. 2017/01/01 to 2018/12/31.
- [9]. Open Research Fund. Thick cloud removal method for Chinese satellite images. KLSMTA-201703. 2017/01/01 to 2018/12/31.
- [10]. Fundamental Research Funds for the Central Universities. Registration method of Gaofen-1 WFV images considering local deformation. 2042017kf0034. 2017/01/01 to 2018/12/31.
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