陈学泓 - 北京师范大学 - 地理科学学部

个人简介

教育经历 2009.10-2012.9 日本名古屋大学环境学研究科理学博士(地球环境科学) 2006.9-2009.7 北京师范大学资源学院硕士(防灾减灾工程) 2002.9-2006.7 北京师范大学物理系学士(物理学) 工作经历 2012.12- 现在：北京师范大学地理科学学部遥感科学与工程研究院承担课程遥感概论（本科） ENVI/IDL编程（研究生）遥感不确定性分析（研究生）科研项目主持国家自然科学基金面上项目《基于多尺度遥感数据时空同化的土地覆盖变化时序监测方法研究》（2019-2022年）主持国家自然科学基金青年基金项目《单类分类器应用于多源遥感数据的关键问题研究：以农田提取为例》（2014-2016年）参与国家重点研究计划课题《区域尺度气候变化对小麦生产系统的综合影响评价研究》（2017-2021）参与国家重点研究计划课题《基于“互联网+”和物联网的多灾种综合风险防范大数据融合分析技术》（2018-2022）参与国家自然科学基金面上项目《基于地面控制实验与三维辐射传输模型的混合像元分解关键问题研究》（2014-2017年) 参与“863“项目全球生态系统与表面能量平衡特征参量生成与应用：第二课题《全球地表覆盖精细分类关键技术》（2014-2016年）参与国家自然科学基金青年基金《灌木扩张背景下的干旱/半干旱草原灌草混合景观植被盖度遥感反演研空》（2013-2015年）重要奖项 2017年国家科学技术进步奖二等奖 "全球30米地表覆盖遥感制图关键技术研究与产品研发" （排序10）中华人民共和国国务院 2015年测绘科技进步特等奖 “全球30米地表覆盖遥感制图关键技术研究与产品研制”（排序16）中国测绘学会 2013年国家测绘科技进步二等奖，全球30米多光谱遥感影像几何和光谱高精度重建关键技术与应用（排序5）中国测绘学会 2010年 ISPRS2010（国际摄影测量与遥感协会2010）第八会议组最佳论文奖，日本京都（ISPRS Commission VIII Best Papers Award, August, 2010, Kyoto, Japan） 2008年CPGIS2008（国际华人地理信息系统协会2008年会）学生论文竞赛一等奖，中国广州 (The First-Place of the CPGIS 2008 the Best Student Paper Award, 2008, Guangzhou, China)

研究领域

遥感数据融合、土地覆盖监测、农业遥感

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

Jie, N., Cao, X.*, Chen, J., Chen, X. (2023). A New Method for Identifying the Central Business Districts with Nighttime Light Radiance and Angular Effects. Remote Sensing 15(1), 239. Zang, Y., Qin, Y., Chen, X.*, Chen, J., Yang, W., Liu, Y., Peng, L., Shen, M., Can, X. (2023) Mapping rapeseed in China during 2017-2021 using Sentinel data: an automated approach integrating rule-based sample generation and a one-class classifier (RSG-OC). GIScience & Remote Sensing, 60:1,2163576. DOI: 10.1080/15481603.2022.2163576 Liu, S., Liu, L., Xu, F., Chen, J., Yuan, Y., Chen, Xuehong*. (2022). A deep learning method for individual arable field (IAF) extraction with cross-domain adversarial capability, Computers and Electronics in Agriculture, 203, 1074739.（一区/TOP) Dong, Q., Chen, X.*, Chen, J., Yin, D., Zhang, C., Xu, F., Rao, Y., Shen, M., Chen, Y., Stein, A., 2022. Bias of area counted from sub-pixel map: Origin and correction. Science of Remote Sensing 6, 100069. https://doi.org/10.1016/j.srs.2022.100069 Peng L., Chen X.*, Chen J., Zhao W. and Cao X. (2022). Understanding the Role of Receptive Field of Convolutional Neural Network for Cloud Detection in Landsat 8 OLI Imagery. IEEE Transactions on Geoscience and Remote Sensing 60, Art no. 5407317. Zhou J., Chen J., Chen X.*, Zhu X., Qiu, Y., Song, H., Rao, Y., Zhang C., Cao X., Cui X. (2021). Sensitivity of six typical spatiotemporal fusion methods to different influential factors: A comparative study for a normalized difference vegetation index time series reconstruction. Remote Sensing of Environment . 252, 112130 Chen X., Wang W., Chen J.*, Zhu X., Shen M., Gan L., Cao X. Does any phenological event defined by remote sensing deserve particular attention? An examination of spring phenology of winter wheat in Northern China. Ecological Indicators. 2020, 116, 106456. Dong, Q.; Chen, X.*; Chen, J.; Zhang, C.; Liu, L.; Cao, X.; Zang, Y.; Zhu, X.; Cui, X. Mapping Winter Wheat in North China Using Sentinel 2A/B Data: A Method Based on Phenology-Time Weighted Dynamic Time Warping. Remote Sensing, 2020, 12, 1274. Chen, X., Guo, Z., Chen, J.*, Yang, W., Yao, Y., Zhang, C., Cui, X., & Cao, X. Replacing the Red Band with the Red-SWIR Band (0.74ρred+0.26ρswir) Can Reduce the Sensitivity of Vegetation Indices to Soil Background. Remote Sensing, 2019, 11, 851. Chen X., Liu M., Zhu X., Chen J.*, Zhong Y., Cao X. “Blend-then-Index" or" Index-then-Blend": A Theoretical Analysis for Generating High-resolution NDVI Time Series by STARFM. Photogrammetric Engineering & Remote Sensing, 2018, 84 (2), 65-73. Yang D., Chen X.*, Chen J., Cao X. Multiscale Integration Approach for Land Cover Classification Based on Minimal Entropy of Posterior Probability. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(3), 1105-1116. Chen S., Chen X.*, Chen J., Jia P., Cao X., Liu C., An Iterative Haze Optimized Transformation for Automatic Cloud/Haze Detection of Landsat Imagery. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54 (5), 2682-2694. 陈学泓, 曹鑫*, 廖安平, 陈利军, 彭舒, 陆苗, 陈晋, 张委伟, 张宏伟, 韩刚, 武昊, 李然. 全球 30m分辨率人造地表遥感制图研究. 中国科学：地球科学, 2016, DOI: 10.1360/N072015-00296 Chen X., Chen J*., Shi Y., Yamaguchi Y. An automated approach for updating land cover maps based on integrated change detection and classification methods. ISPRS Journal of Photogrammetric and Remote Sensing, 2012, 71, 86-95. Chen X., Chen J.*, Jia X., Somers B., Wu J., Coppin P. A Quantitative Analysis of Virtual Endmembers’ Increased Impact on the Collinearity Effect in Spectral Unmixing. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(8), 2945-2956. Chen J.*, Chen X., Cui X., Chen J. Change Vector Analysis in Posterior Probability Space: A New Method for Land Cover Change Detection. IEEE Geoscience and Remote Sensing Letters, 2011, 8(2), 317-321.