个人资料
个人简介社会职务研究领域 遥感影像融合与重建,深度学习
开授课程科研项目论文[1] Guo, D., Shi, W., Hao, M., & Zhu, X. (2020). FSDAF 2.0: Improving the performance of retrieving land cover changes and preserving spatial details. Remote Sensing of Environment, 248, 111973.(中科院一区TOP) [2] Shi, W., Guo, D*., & Zhang, H. (2022). A reliable and adaptive spatiotemporal data fusion method for blending multi-spatiotemporal-resolution satellite images. Remote Sensing of Environment, 268, 112770.(中科院一区TOP) [3] Guo, D., Shi, W., Zhang, H., & Hao, M. (2022). A flexible object-level processing strategy to enhance the weight function-based spatiotemporal fusion method. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-11.(中科院一区) [4] Guo, D., Shi, W., Qian, F., Wang, S., & Cai, C. (2022). Monitoring the spatiotemporal change of Dongting Lake wetland by integrating Landsat and MODIS images, from 2001 to 2020. Ecological Informatics, 72, 101848.(中科院二区) [5] Guo, D., & Shi, W. (2023). Object-Level Hybrid Spatiotemporal Fusion: Reaching a Better Trade-Off Among Spectral Accuracy, Spatial Accuracy and Efficiency. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,16:8007-8021.(中科院二区TOP) [6] Guo, D., & Shi, W. (2023). A task decoupled framework for enhancing the deep learning-based spatiotemporal fusion method. International Journal of Remote Sensing, 44(13), 4163-4189.(中科院三区) 科技成果荣誉奖励工作经历 |