姓名

谢帅

单位部门

信息与控制工程学院/电子信息工程教研室

职称

副教授

电话/邮箱

xieshuai@radi.ac.cn

个人简介

谢帅，副教授，硕士研究生导师。博士毕业于中国科学院空天信息创新研究院。研究方向为遥感图像处理与信息提取、遥感云计算开发与应用、机器学习/深度学习等。主持国家自然科学基金1项、山东省自然科学基金项目1项，参与国家自然科学基金项目、国家重点研发计划项目、中科院先导专项课题等。发表SCI论文23篇，并担任多个国际期刊审稿人，包括RSE、ISPRS P&RS、JAG、COMPAG等。承担的本科课程包括《数据结构》和《数据库原理及应用》。

研究领域

遥感图像处理与信息提取、时间序列遥感数据分析、遥感云计算开发与应用、机器学习/深度学习

科研项目

1.国家自然科学基金青年基金项目：42301534，耦合连续变化探测与分类的年度地表覆盖时序分类方法研究，2024.01-2026.12，30万，主持

2.山东省自然科学基金青年项目：ZR2023QD072，Landsat时序数据间隙引起的百分位数特征的不确定性及其对地表覆盖分类精度的影响，2024.01-2026.12，15万，主持

学术论文

[1] Xinkai Ai,Shuai Xie*, Lin Sun, et al. A novel spectro-temporal index NDTeI combined with machine learning algorithm for Sentinel-2 cloud detection [J]. International Journal of Remote Sensing, 2024, 45(12): 4023-45.

[2] Xichen Meng,Shuai Xie*, Lin Sun, et al. Evaluation of temporal compositing algorithms for annual land cover classification using Landsat time series data [J]. International Journal of Digital Earth, 2023, 16(1): 2574-98.

[3] Xiaomi Liu,Shuai Xie*, Jiangning Yang, et al. Comparisons between temporal statistical metrics, time series stacks and phenological features derived from NASA Harmonized Landsat Sentinel-2 data for crop type mapping [J]. Computers and Electronics in Agriculture, 2023, 211: 108015.

[4]Shuai Xie, Lin Sun, Liangyun Liu, et al. Global Cross-Sensor Transformation Functions for Landsat-8 and Sentinel-2 Top of Atmosphere and Surface Reflectance Products Within Google Earth Engine [J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 1-9.

[5]Shuai Xie, Liangyun Liu, Xiao Zhang, et al. Mapping the annual dynamics of land cover in Beijing from 2001 to 2020 using Landsat dense time series stack [J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 185: 201-18.

[6]Shuai Xie, Liangyun Liu, Jiangning Yang. Enhanced Landsat surface reflectance prediction considering land cover change by using an ensemble of spectro-temporal and spectro-spatial predictions [J]. Advances in Space Research, 2022, 69(7): 2697-710.

[7]Shuai Xie, Liangyun Liu, Jiangning Yang. Time-Series Model-Adjusted Percentile Features: Improved Percentile Features for Land-Cover Classification Based on Landsat Data [J]. Remote Sensing, 2020, 12(18): 3091.

[8]Shuai Xie, Liangyun Liu, Xiao Zhang, et al. Automatic land-cover mapping using Landsat time-series data based on Google Earth Engine [J]. Remote Sensing, 2019, 11(24): 3023.

[9]Shuai Xie, Liangyun Liu, Xiao Zhang, et al. Annual land-cover mapping based on multi-temporal cloud-contaminated Landsat images [J]. International Journal of Remote Sensing, 2019, 40(10): 3855-77.

[10]Shuai Xie, Jianbo Duan, Shibin Liu, et al. Crowdsourcing rapid assessment of collapsed buildings early after the earthquake based on aerial remote sensing image: A case study of yushu earthquake [J]. Remote Sensing, 2016, 8(9): 759.