Research Fields

Artificial Intelligence, Computer Vision, Fundamental Large Models, Remote Sensing Interpretation, Big Data Analytics, Public Health, etc.

Recruitment Information

Starting from 2025, one international postgraduate student that pursue a Master's degree at UCAS will be enrolled annually.

Welcome graduate students majoring in Mathematics, Computer Science, Remote Sensing, Geography, Geomatics, Environmental Science, Economics and other related disciplines to apply!

Student can choose from the following research topics:

(1) Intelligent Processing of Remote Sensing Images (Semantic Segmentation/Object Detection/Data Restoration, etc.)

(2) Big Data Analytics (Eco-remote Sensing and Resident Health)

(3) Urban Sustainable Development (Urban Green Space/Urban Heat Island/Inequality Assessment, etc.)

(4) AI and Global Energy Layout (Photovoltaic Power Generation Potential and Market Distribution)

Welcome to apply for the Chinese Government Scholarship（ANSO Scholarship） for studying in China.

ANSO Scholarship： Degree Program

1. Guo, J., Hong, D., Zhu X. “High-resolution satellite images reveal the positive indirect impact of urbanization on urban tree canopy coverage in South America”, Landscape and Urban Planning, 2024, 247, 105076 (一区Top, IF=9.1）

2. Guo, J., Hong, D., Zhu X. “Continent-wide urban tree canopy fine-scale mapping and coverage assessment in South America with high-resolution satellite images”, ISPRS Journal of Photogrammetry and Remote Sensing, 2024.  212, 251-273 (一区Top, IF=12.7)

3. Guo, J., Qin, S., et al., “Nationwide Urban Tree Canopy Mapping and Coverage Assessment in Brazil from High-Resolution Remote Sensing Images Using Deep Learning”, ISPRS Journal of Photogrammetry and Remote Sensing, 2023. 198, 1-15 （一区Top, IF=12.7）

4. Guo, J., Liu Z., Zhu X. “Assessing the macro-scale patterns of urban tree canopy cover in Brazil using high-resolution remote sensing images”. Sustainable Cities and Society, 2023: 105003. (一区Top, IF=11.70)

5. Guo J., Yang, J., et al., “ Unsupervised Domain Adaptation for Cloud_ Detection Based on Grouped Features Alignment and Entropy Minimization.” IEEE Transactions on Geoscience and Remote Sensing, Mar, 2022. (一区Top, IF=8.125)

6. Guo J., Yang, J., et al. “Unsupervised Domain-Invariant Feature Learning for Cloud Detection of Remote Sensing Images.” IEEE Transactions on Geoscience and Remote Sensing. 2022.（一区Top, IF=8.125）

7. Guo J., Yang, J., et al., “CDnetV2: CNN-Based Cloud Detection for Remote Sensing Imagery with Cloud-snow Coexistence” IEEE Transactions on Geoscience and Remote Sensing, April, 2020. (一区Top, IF=8.125，ESI高被引)

8. Guo J., Yang, J., et al., “RSDehazeNet: Dehazing Network with Channel Refinement for Multispectral Remote Sensing Images” IEEE Transactions on Geoscience and Remote Sensing, Jun., 2020. (一区Top, IF=8.125)

9. Guo J., Yang, J., et al., “Landsat-8 OLI Multispectral Image Dehazing Based on Optimized Atmospheric Scattering Model .” IEEE Transactions on Geoscience and Remote Sensing, Nov, 2020. (一区Top, IF=8.125)

10. Yang, J., Guo J., et al., “CDnet: CNN-based cloud detection for remote sensing imagery,” IEEE Transactions on Geoscience and Remote Sensing, 57, 6195–6211, 2019. (一区Top, IF=8.125，ESI高被引)

Google学术主页：  https://scholar.google.com/citations?user=xY0__WQAAAAJ&hl=zh-CN