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王舜瑶

作者:   时间:2025-04-24   点击数:

基本信息

姓   名:王舜瑶

民   族:汉

出生年月:199403

学  历:博士研究生

毕业时间:202306

政治面貌:中共党员

职务:测绘工程系主任

职称:讲师

专业:摄影测量与遥感

科研方向:InSAR算法及应用

电子邮箱:shunyaowang@nynu.edu.cn


个人简介:王舜瑶,南阳市“诸葛英才计划”引进博士,现任测绘工程系主任。长期致力于InSAR技术研究,作为科研骨干完成全国首套“地表形变一张图”、。入选地方高层次人才计划,担任研究生导师,主讲《遥感概论》《遥感数字图像处理》等核心课程。

学习及工作经历

2012/9-2016/6  河南理工大学(本科,专业:测绘工程)

2015/1-2015/6  美国肯塔基大学(本科交换生,国家留学基金委公派)

2016/9-2019/6  河南理工大学(硕士研究生,导师:卢小平 教授,研究方向:InSAR算法及应用)

2019/9-2023/6          武汉大学测绘遥感信息工程全国重点实验室(博士研究生,导师:张过 教授,研究方向:1 InSAR算法及应用)

2023/7至今    南阳师范学院


科研项目

[1] 基于InSAR技术的南水北调中线工程广域地表形变监测关键技术研究,河南省科技攻关,2025.1,主持,在研

[2] 丹江口库区斜坡地质灾害风险智能评估与应用,河南省科技攻关,2025.1,参与,在研

[3] 建筑物点云几何特征参数提取关键技术及应用研究,河南省自然科学基金2024.1,在研

[4] 基于InSAR的地震影响下老采空区残余变形突变监测关键技术研究河南省科技攻关,2024.1,参与,在研

[5] 基于InSAR技术的南水北调中线工程沿线地表扰动研究,校级项目,2024.1主持,在研

[6] 广域InSAR形变结果支持下的态势结合滑坡易发性评价方法研究,校级项目2025.1,主持,在研


获奖、荣誉及社会兼职

[1] 测绘科学技术奖一等奖星载InSAR高精度几何处理关键技术),中国测绘学会2023.11

[2] 中国遥感优秀成果一等奖(中国地表形变一张图),中国遥感委员会,2023.8

[3] 2018年外研社杯全国英语阅读大赛全国总决赛一等奖 2018.7

[4] 26届湖北省翻译大赛特等奖 2021.5

[5] 湖北省翻译工作者协会会员


专著及教材

[1] 星载InSAR 高精度几何处理,张过、陈振炜、王舜瑶等著. 北京:科学出版社,2022.12


科研论文

[1] Shunyao Wang, Xiaoping Lu, Zhenwei Chen, Guo Zhang, Taofeng Ma, Peng Jia, Beibei Li. Evaluating the Feasibility of Illegal Open-Pit Mining Identification Using Insar Coherence. Remote Sensing. 2020. 12, 3: 367.

[2] Shunyao Wang, Guo Zhang, Zhenwei Chen, Zixing Xu, Yutao Liu. A refined parallel stacking InSAR workflow for large-scale deformation fast extraction—a case study of Tibet. Geocarto International. 2022. 37,27.

[3] Shunyao Wang, Guo Zhang, Zhenwei Chen, Hao Cui, Yuzhi Zheng, Zixing Xu, Qihan Li. Surface deformation extraction from small baseline subset synthetic aperture radar interferometry (SBAS-InSAR) using coherence-optimized baseline combinations. GIScience & Remote Sensing. 2022. 59:1, 295-309.

[4] Shunyao Wang, Guo Zhang, Zhenwei Chen, Zixing Xu, Yutao Liu, Ruishan Zhao.  Evaluating expressway stability using interferometric synthetic aperture radar and measuring its impact on the occurrence of geohazards: a case study of Shanxi Province, China. GIScience & Remote Sensing. 2023. 60:1, 2161200.

[5] Shunyao Wang, Zhenwei Chen, Guo Zhang, Zixing Xu, Yutao Liu, and Yuan Yuan. Overview and Analysis of Ground Subsidence along China’s Urban Subway Network Based on Synthetic Aperture Radar Interferometry. Remote Sensing. 2024. 16, no. 9: 1548.

[6] Shunyao Wang, Qingbin Fan, Hui Li. Latent landslide hazard recognition in Fang County using synthetic aperture radar interferometry and geological data. Frontiers in Earth Science. 2025. 13:1531615.

[7] Shunyao Wang, Fengxian Lu, Pengcheng Qi, Miao Zhang, Ziyue Zhang. Vertical Deformation Extraction Using Joint Track SBAS-InSAR Along Coastal California, USA. Journal of Marine Science and Engineering. 2025, 13, 761.

[8] Guo Zhang, Shunyao Wang, Zhenwei Chen, Yuzhi Zheng, Ruishan Zhao, Taoyang Wang, Yu Zhu, Xinzhe Yuan, Wei Wu, Weitao Chen. Development of China’s spaceborne SAR satellite, processing strategy, and application: take Gaofen-3 series as an example. Geo-spatial Information Science. 2022. Online.

[9] Guo Zhang, Zixing Xu, Zhenwei Chen, Shunyao Wang, Hao Cui, Yuzhi Zheng. Predictable Condition Analysis and Prediction Method of SBAS-InSAR Coal Mining Subsidence. IEEE Transactions on Geoscience and Remote Sensing. 2022. 60: 1-14.

[10] Xue Li, Guo Zhang, Hao Cui, Shasha Hou, Shunyao Wang, Xin Li, Yujia Chen, Zhijiang Li, Li Zhang. MCANet: A joint semantic segmentation framework of optical and SAR images for land use classification. International Journal of Applied Earth Observation and Geoinformation. 2022, 106,102638.

[11] Guo Zhang, Zixing Xu, Zhenwei Chen, Shunyao Wang, Hao Cui, Yuzhi Zheng. Predictable Condition Analysis and Prediction Method of SBAS-InSAR Coal Mining Subsidence. IEEE Transactions on Geoscience and Remote Sensing. 2022. 60: 1-14.

[12] Guo Zhang, Shunyao Wang, Zhenwei Chen, Yutao Liu, Zixing Xu. Landslide susceptibility evaluation integrating weight of evidence model and InSAR results, west of Hubei Province, China. The Egyptian Journal of Remote Sensing and Space Science. 2023. 26, 1: 95-106.

[13] Jiahui Dong, Ruiqing Niu, Bingquan Li, Hang Xu & Shunyao Wang. Potential landslides identification based on temporal and spatial filtering of SBAS-InSAR results. Geomatics, Natural Hazards and Risk. 2023. 14:1, 52-75.

[14] Guo Zhang, Zixing Xu, Zhenwei Chen, Shunyao Wang, Yutao Liu, Xuhui Gong. Analyzing surface deformation throughout China’s territory using multi-temporal InSAR processing of Sentinel-1 radar data. Remote Sensing of Environment. 2024. 305, 114105.



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