Yuwei Cai

Room 417, Main Building East Quad., School of Geographical & Earth Sciences

2953529c@student.gla.ac.uk

ORCID iDhttps://orcid.org/0009-0000-6417-5537

Research title: Enhancing Building Footprint Extraction Accuracy Using Single-Image Super-Resolution Building Datasets

Research Summary

My research mainly focuses on using deep learning methods for building rooftop dection and super-resolution. In the recent one year, I was exploring methods to enhance building rooftop extraction accuracy with Single-Image Super-Resolution(SISR) on building datasets. My current research focuses on deep learning methods to enhance the resolution of aerial images from the building datasets.

All topics of my research are related to the deep learning applications for assisting urban management, environmental monitoring, emergency response, and other land use management issues. By enhancing the performances with the deep learning-based methods, the increased detection accuracy can help the governments and the companies to obtain accurate results.

Publications

  • Cai, Y., He, H., & He, Z. (2024, July). Loss Functions Analysis of Performance Improvements in Single-Image Super-Resolution. In IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium, pp. 3138-3141. IEEE. 

  • He, Z., Cai, Y., He, H., Xian, X., & Barrett, B. (2024, July). An Enhanced Trans-Involution Network for Building Footprint Extraction from High Resolution Orthoimagery. In IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 10030-10034). IEEE.

  • Cai, Y. , Hu, B. , He, H. , Gao, K., Xu, H., Zhang, Y., Pirasteh, S., et al. (2024). Automatic error correction: Improving annotation quality for model optimization in oil-exploration related land disturbances mapping. The Egyptian Journal of Remote Sensing and Space Sciences, 27(1): pp.108-119. https://doi.org/10.1016/j.ejrs.2024.01.001. 

  • Cai, Y., He, H., He, Z., Chapman, M. A., Li, J., Ma, L., & Li, J. (2023, July). Enhancing Spatial Resolution of Building Datasets Using Transformer-Based Single-Image Super-Resolution. In IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium, pp. 6338-6341.

  • Cai, Y. , He, H. , Yang, K. , Fatholahi, S. N. , & Li, J. . (2021). A comparative study of deep learning approaches to rooftop detection in aerial images. Canadian Journal of Remote Sensing (3), pp. 1-19.

  • He, H., Yang, K., Cai, Y., Jiang, Z., Yu, Q., Zhao, K., ... & Li, J. (2021, July). The Impact of Data Volume on Performance of Depp Learning Based Building Rooftop Extraction Using Very High Spatial Resolution Aerial Images. In 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, pp. 1343-1346.

  • He, H. , Jiang Z. , Tan, W. , Cai, Y. , Fatholahi, S. N. , Gao, K. , & Xue, H. , et al. (2021). Waterloo Building Dataset: A large-scale very-high-spatial-resolution image dataset for building rooftop extraction. International Cartographic Association (ICA), pp. 2570-2106.

  • Wang, H. , Zhang, F. , & Cai Y. (2020). Sedimentary evolution characteristics and controlling factors of passive continental margin in the northern sub-basin of Senegal basin, Marine Geology and Quaternary Geology, 40(4): pp. 11.

  • Jin, X. , Zhang, G. , Cai, Y. , et al. (2017). Forming conditions and distribution of shallow gas in Daqing Placanticline [J]. Petroleum Geology and Development of Daqing, 36(3): pp.7-12.

Supervisors

Grants

  • IEEE Geoscience and Remote Sensing Society 2023-2024 Travel Grant

Conference

2024

  • July 7th-12nd, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2024), Athens, Greece

2023

  • July 16th-21st, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2023), Pasadena California, USA