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PhD Student

Remote Sensing Laboratory, University of Trento

• Developed a pixel-wise contrastive framework to perform unsupervised change detection in multisensor and multitemporal remote sensing images, achieving fine-grained change maps and temporal robustness in bitemporal image pairs. Created a new framework for unsupervised change detection in satellite image time series using contrastive learning with feature tracking.
• Built a unified model of incomplete multimodal learning for remote sensing data fusion using a random modality combination training strategy and the proposed attention block in network training, as well as the contrastive and reconstruction loss in pre-training, resulting in increased efficiency and accuracy in modal-incomplete inputs.
• Collected training labels from OpenStreetMap and images from ArcGIS Wayback imagery to train models in large-scale semantic segmentation and change detection tasks, demonstrating a useful and accessible approach.
• Developed an attention-based deep residual U-shaped network to mitigate atmospheric artefacts in InSAR interferograms, surpassing generic atmospheric correction models and achieving comparable results to advanced time-series InSAR methods.

Master Student

State Key Laboratory of Geodesy and Earth’s Dynamics, CAS

• Created a DEM extraction workflow from declassified Hexagon spy images to study glacial changes in the central Karakorum area, providing insights into glacial thickness variations over the past 40-50 years.
• Monitored ground deformation in coastal areas of Hangzhou Bay using PS-InSAR and SBAS techniques, identifying potential risk areas and providing temporal-spatial patterns of displacements.
• Developed the DSs-SBAS method for monitoring permafrost deformation, improving the spatial and temporal resolutions of large-scale deformation measurements over permafrost regions in the Tibetan Plateau.
• Proposed an approach for large-scale active layer thickness inversion of permafrost using the SAR backscattering coefficient, MODIS surface temperature, and the seasonal deformation amplitude, providing a high-precision alternative for monitoring active layer thickness when field data is limited.

PhD

University of Trento, Trento, Italy

Information Engineering and Computer Science

• Remote sensing image change detection and data fusion

Master

University of Chinese Academy of Sciences, Beijing, China

Geodesy and Surveying Engineering

• InSAR and permafrost monitoring

National Scholarships for Graduate Students

Ministry of Education of the People's Republic of China

This scholarship is to award my great work in master