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
所属院系：测绘遥感信息工程全国重点实验室
学科：摄影测量与遥感
其他联系方式
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论文成果
- 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
- 路泽忠.沈欣.李德仁,程少园,王迪,姚伟.Super-agile satellites imaging mission planning method considering degradation of image MTF in dynamic imaging.International Journal of Applied Earth Observation and Geoinformation.2024
- 陈亚欣.沈欣.张过,路泽忠.Large-Scale Multi-Objective Imaging Satellite Task Planning Algorithm for Vast Area Mapping.Remote Sensing.2023
- 路泽忠.沈欣.李德仁,李迪龙,陈亚欣,王迪,申帅.Multiple Super-agile Satellite Collaborative Mission Planning for Area Target Imaging.International Journal of Applied Earth Observation and Geoinformation.2023
- 陈亚欣.沈欣.张过,路泽忠.Multi-Objective Multi-Satellite Imaging Mission Planning Algorithm for Regional Mapping Based on Deep Reinforcement Learning.Remote Sensing.2023
- 路泽忠.沈欣.李德仁,陈亚欣.Integrated Imaging Mission Planning Modeling Method for Multi-Type Targets for Super-Agile Earth Observation Satellite.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.2022
