沈欣
硕士生导师
教师姓名:沈欣
教师英文名称:Shen Xin
教师拼音名称:Shen Xin
电子邮箱:
入职时间:2021-01-01
所在单位:测绘遥感信息工程全国重点实验室
学历:博士研究生毕业
性别:男
职称:高级实验师
在职信息:在职
毕业院校:武汉大学
学科:摄影测量与遥感
暂无内容
- .Li, Litao;Li, Zhen;Wang, Zhixin;Jiang, Yonghua;Shen, Xin;Wu, Jiaqi.On-Orbit Relative Radiometric Calibration of the Bayer Pattern Push-Broom Sensor for Zhuhai-1 Video Satellites.REMOTE SENSING.15.2.2025
- .Deren Li;Xin Shen;Le Wang.Connected Geomatics in the big data era.国际数字地球学报(英文).11.2.139-153.2025
- .Lihui Wang;Feng Qi;Xin Shen;Jinliang Huang.Monitoring Multiple Cropping Index of Henan Province, China Based on MODIS-EVI Time Series Data and Savitzky-Golay Filtering Algorithm.工程与科学中的计算机建模(英文).5.331-348.2025
- .Li, Deren;Zhang, Guo;Shen, Xin;Zhong, Xing;Jiang, Yonghua;Wang, Taoyang;Tu, Jianguang;Li, Zhijiang.Design and processing night light remote sensing of LJ-1 01 satellite.Yaogan Xuebao/Journal of Remote Sensing.23.6.1011-1022.2025
- .Deren Li;Mi Wang;Zhipeng Dong;Xin Shen;Lite Shi.Earth Observation Brain(EOB):an intelligent earth observation system.地球空间信息科学学报(英文).20.2.134-140.2025
- 王珈樱.沈欣.李德仁,路泽忠,姚伟,谢腾飞,李立涛,达风.Regional Target Decomposition Method for Satellite Resource Allocation in Heterogeneous Remote Sensing Constellations.International Journal of Applied Earth Observation and Geoinformation.151.2026
- 姚伟.沈欣.张过,路泽忠,王珈樱,高贵,达风.Meta Reinforcement Learning Method for Dynamic Mission Scheduling of Earth Observation Satellites.Aerospace Science and Technology.176.2026
- 王珈樱.沈欣.李德仁,李立涛,蒋永华,潘俊,路泽忠,姚伟.A Multi-Objective Gray Consistency Correction Method for Mosaicking Regional SAR Intensity Images with Brightness Anomalies.Remote Sensing.17.9.2025
- 姚伟.沈欣.张过,路泽忠,王珈樱,宋彦杰,李志伟.A spiking neural network based proximal policy optimization method for multi-point imaging mission scheduling of earth observation satellite.Swarm and Evolutionary Computation.2025
- 沈欣.路泽忠.李立涛,陈亚欣,李雪飞,王珈樱,姚伟.Multi-strip stitching imaging mission planning method for SAR satellites regional mapping considering on-board energy consumption.IEEE Transactions on Geoscience and Remote Sensing.2025
