成路肖,女,2022年毕业于中国地质大学(武汉)计算机学院,获得工学博士学位,师从王力哲教授。主要研究方向为城市空间信息智能提取与分析、多源数据融合、遥感场景分类。以第一作者在遥感应用领域期刊和会议上发表5篇论文。
1.工作经历
2023年5月-至今 湖北工业大学 讲师 硕士生导师
2.主要论文
[1]Luxiao Cheng, Lizhe Wang, Ruyi Feng, Jining Yan. Remote Sensing and Social Sensing Data Fusion for Fine-Resolution Population Mapping With a Multimodel Neural Network,IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, 14: 5973-5987.(SCI,IF=5.5)
[2]Luxiao Cheng, Ruyi Feng, Lizhe Wang, Jining Yan, Dong Liang. An Assessment of Electric Power Consumption Using Random Forest and Transferable Deep Model with Multi-Source Data,Remote Sensing, 2022, 14(6): 1469.(SCI,IF=5.0)
[3]Luxiao Cheng, Ruyi Feng, Lizhe Wang. Fractal Characteristic Analysis of Urban Land-Cover Spatial Patterns with Spatiotemporal Remote Sensing Images in Shenzhen City (1988–2015),Remote Sensing, 2021, 13(22): 4640.(SCI,IF=5.0)
[4]Luxiao Cheng, Lizhe Wang, Ruyi Feng; Suzheng Tian. A Deep Learning-Based Framework for Urban Active Population Mapping from Remote Sensing Imagery,IGARSS 2022 - 2022 IEEE
International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022-7-17至2022-7-22.(CCF C类会议)
[5]Luxiao Cheng, Lizhe Wang, Ruyi Feng. Fractal Characteristics and Evolution of Urban Land-Use: A Case Study in the Shenzhen City (1988–2015).IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2020: 4275-4278.(CCF C类会议)
[6] Zhipeng Wang, Jining Yan,Luxiao Cheng, Xiaohui Huang, Liang Huang, Lizhe Wang. Big Data Analysis of Remote Sensing Monitoring of Land Cover in Wuhan City from 2000 to 2017.IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019-7-28至2019-8-2.(CCF C类会议)
3.授权发明专利
[1] 王力哲,成路肖,冯如意,阎继宁,宋维静,王圣.基于多模型融合的人口分布估计方法、装置及存储介质, 2023-6-20,中国, ZL202111095651.X.
4.主持和参与项目
[1] 教育部高等学校科学研究发展中心,中国高校产学研创新基金-新一代信息技术创新项目, 2022IT033,地理大数据驱动下的城市空间信息智能提取方法研究, 2023-09至今, 5万元,在研,主持.
[2]国家自然科学基金委员会,面上项目, 42071339,基于多模态深度学习的遥感图像场景分类方法研究, 2021-01-01至2024-12-31, 55万元,在研,参与.
5.联系方式
邮箱:chengluxiao@hbut.edu.cn
欢迎具有一定编程基础、积极乐观、踏实认真的同学报考我的硕士研究生。