副研究员

吴文瑾

电子邮箱:wuwj@radi.ac.cn
办公电话:010-82178109

 

研究领域/方向

高分辨率SAR信息提取,生态环境遥感

 

 

教育背景


2010.09  -  2015. 06 中国科学院大学  地图学与地理信息系统专业   理学博士学位
2006. 09 – 2010. 06 武汉大学  遥感科学与技术专业   工学学士学位

 

 

工作经历


2020.12 – 今 中国科学院空天信息创新研究院 副研究员
2019.07 – 2020.12 中国科学院空天信息创新研究院 助理研究员
2015.07 – 2019.06 中国科学院遥感与数字地球研究所 助理研究员

 

 

承担科研项目情况


2016.01 – 2020.12   国家自然科学基金重大项目“月基对地观测传感器优化与观测方法研究”   专题负责人
2016.07 – 2021.02   国家重点研发计划“全球变化及应对”课题“大数据驱动的全球变化敏感因子认知模型”    课题骨干
2017.01 – 2019.12   国家自然科学基金青年项目“基于多类谱上下文特征和广义高斯模型的超高分辨率SAR两级信息提取方法研究”   项目负责人
2018.01 – 2022.12   中科院A类先导专项“遥感三极:协同与对比”  课题骨干
2018.04 – 2018.12   海南省环科院横向项目“海南博鳌地区生态环境遥感调查与评估”   项目负责人
2019.08 – 2019.12   中国环境监测总站横向项目“水土保持区生态系统功能评估”  项目负责人
2020.06 – 2021.06   海南省生态环境监测中心横向项目“海南省生态环境状况评价指标体系研究”   项目负责人
2021.01 – 2022.12   内蒙古自治区科技重大专项“鄂尔多斯高原天-空-地一体化荒漠化大数据平台的智能化监测与智慧应用” 专题负责人

 

 

获奖及荣誉

 

2020.09         全球基本科学指数(ESI)高被引论文

 

 

主要论著


1)Wu, W., Li, X., Guo, H., Ferro-Famil, L., & Zhang, L., Urban Land Use Information Extraction Using the Ultrahigh-Resolution Chinese Airborne SAR Imagery. IEEE Transactions on Geoscience and Remote Sensing (2015)
2)Wu, W., Li, X., Guo, H., Ferro-Famil, L., Zhang, L., Noncircularity Parameters and Their Potential Applications in UHR MMW SAR Data Sets. IEEE Geoscience and Remote Sensing Letters (2016)
3)Li, X., Guo, H., Zhang, L. Liang, L. Wu, W., Preliminary Calibration and Application Results of C-and P-band Airborne Polarimetric SAR Data in China, EUSAR (2016)
4)Li, X., Wu, W.(通讯), Xu, B., Yin, S., Yang, R., & Cheng, S. Reflectance-elevation relationships and their seasonal patterns over twelve glaciers in western China based on Landsat 8 data. Remote Sensing (2017) 
5)Guo, H., Chen, J., Li, X., Zhang, L., Wu, W. et al. Research on SAR data integrated processing methodology oriented on earth environment factor inversions. International Journal of Digital Earth (2017)
6)Li X., Jia G., Howard E. E., Wu, W.. Earth Observation of Ecological Environment along the Belt and Road. Bulletin of Chinese Academy of Sciences (2017)
7)Wu, W., Li, H., Zhang, L., Li, X., Guo, H., High-Resolution PolSAR Scene Classification with Pretrained Deep Convnets and Manifold Polarimetric Parameters. IEEE Transactions on Geoscience and Remote Sensing (2018)
8)Wu, W., Li, X., Guo, H., & Liang, L., Millimeter-Wave Ultrahigh Resolution SAR Image Classification Based on a New Feature Set. IEEE Geoscience and Remote Sensing Letters (2018)
9)Yin, S., Wu, W., & Li, X., Comparison of temporal and spatial changes in three major tropical forests based on MODIS data. Journal of Forestry Research (2018)
10)Liang, L., Li, X., Ferro-Famil, L., Guo, H., Zhang, L., Wu, W., Urban area tomography using a sparse representation based two-dimensional spectral analysis technique. Remote Sensing (2018)
11)Wu, W., Zhao, X., Gong C., Li, X., Obtaining the Patterns of Global Forest NPP and Its Influence Factors with Google Earth Engine. IGARSS (2018).
12)Wu, W., Li, H., Exploring the Abilities and Potentials of Deep Transfer Learning on High-resolution PolSAR Image Interpretations. EUSAR (2018).
13)Wu, W., Li, X., A Novel Despeckling Framework for Ultra-high Resolution SAR Images Based on Complex Generalized Gaussian Distribution. EUSAR (2018).
14)Wu, W., Gong C., Li X., Guo H. and Zhang L., An Online Deep Convolutional Model of Gross Primary Productivity and Net Ecosystem Exchange Estimation for Global Forests, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2019)
15)Wu, W., Li, H., Li, X., Guo, H., & Zhang, L., PolSAR Image Semantic Segmentation Based on Deep Transfer Learning. IEEE Geoscience and Remote Sensing Letters (2019)
16)Zhang, L., Guo H., Jiao H., Guang L., Shen G., Wu W. (通讯),A Polar Coordinate System Based on a Projection Surface for Moon-Based Earth Observation Images, Advances in Space Research (2019)
17)Yin S, Wu W. (通讯), Zhao X, Gong C, Li X, Zhang L Understanding spatiotemporal patterns of global forest NPP using a data-driven method based on GEE. PLoS ONE 15(3): e0230098 (2020)
18)Wu, W., Sun X., Epstein H., Xu X., and Li X.,Spatial Heterogeneity of Climate Variation and Vegetation Response for Arctic and High-Elevation Regions from 2001-2018, Environmental Research Communications (2020)
19)Jiangshan ZHENG, Xiyan XU, Gensuo JIA, Wenjin Wu,Understanding the spring phenology of Arctic tundra using multiple satellite data products and ground observations, Science China Earth Sciences (2020)
20)Nurgul Aitekeyeva, Xinwu Li, Huadong Guo, Wenjin Wu et al. Drought Risk Assessment in Cultivated Areas of Central Asia Using MODIS Time-Series Data, Water 12, 1738, (2020).
21)Tong Yu, Wu W. (通讯), Hailei Li , Xinwu Li, High-Resolution PolSAR Classification Model Based on the Fully Convolutional Neural Network and Polarimetric Parameters, IET international Radar conference (2020)
22)Sun, X., Wu, W. (通讯), Li, X., Xu, X., Li, J. Vegetation Abundance and Health Mapping Over Southwestern Antarctica Based onWorldView-2 Data and a Modified Spectral Mixture Analysis. Remote Sensing. 13, 166 (2021)
23)Yu, T., Wu, W., Gong, C, Li, X. Residual Multi-Attention Classification Network for A Forest Dominated Tropical Landscape Using High-Resolution Remote Sensing Imagery. ISPRS Int. J. Geo-Inf. 10, 22 (2021)

 

 

招生信息

 

 

 

指导学生情况