Publications
You can also find my articles on my Google Scholar profile.
Journal papers
- Yao Sun, Yi Wang, Michael Eineder (2024). QuickQuakeBuildings: Post-earthquake SAR-Optical Dataset for Quick Damaged-building Detection. IEEE Geoscience and Remote Sensing Letters, vol. 21, pp. 1-5, 2024.
- Qingyu Li, Lichao Mou, Yao Sun, Yuansheng Hua, Yilei Shi, Xiao Xiang Zhu (2024). A Review of Building Extraction from Remote Sensing Imagery: Geometrical Structures and Semantic Attributes. IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1-15, 2024.
- Qingyu Li, Lichao Mou, Yuansheng Hua, Yilei Shi, Sining Chen, Yao Sun, and Xiao Xiang Zhu (2023). 3DCentripetalNet: Building Height Retrieval from Monocular Remote Sensing Imagery. International Journal of Applied Earth Observation and Geoinformation, 120, pp. 103311.
- Yao Sun, Lichao Mou, YuanyuanWang, Sina Montazeri, Xiao Xiang Zhu (2021). Large-scale Building Height Retrieval from Single SAR Imagery based on Bounding Box Regression Networks. ISPRS Journal of Photogrammetry and Remote Sensing, 184, pp. 79-95.
- Yao Sun, Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu (2020). CG-Net: Conditional GIS-aware Network for Individual Building Segmentation in VHR SAR Images. IEEE Transactions on Geoscience and Remote Sensing, 60, pp. 1-15.
- Yao Sun, Sina Montazeri, Yuanyuan Wang, Xiao Xiang Zhu (2020). Automatic Registration of a Single SAR Image and GIS Building Footprints in a Large-scale Urban Area. ISPRS Journal of Photogrammetry and Remote Sensing, 170, pp. 1–14.
- Xiao Xiang Zhu, Jingliang Hu, Chunping Qiu, Yilei Shi, Jian Kang, Lichao Mou, Hossein Bagheri, Matthias Haberle, Yuansheng Hua, Rong Huang, Lloyd Hughes, Hao Li, Yao Sun, Guichen Zhang, Shiyao Han, Michael Schmitt, Yuanyuan Wang (2020). So2Sat LCZ42: A Benchmark Data Set for the Classification of Global Local Climate Zones [Software and Data Sets]. IEEE Geoscience and Remote Sensing Magazine, 8(3), pp. 76–89.
- Yao Sun, Qingyun Du (2019). Building Feature Simplification based on Curve Evolution Theory. Science of Surveying and Mapping, 44(10), pp. 158-164.
- Yao Sun, Qin Tian, Zhenfeng Zhu (2011). Analysis on Land Use Change and Driving Force in Lanzhou City. Journal of Anhui Agricultural Sciences, 39(29), pp. 18188-18191
Conference papers
- Alejandro Rueda Segura, Yao Sun, Frank Petzold (2024). “Generating Façade Segmentation Datasets using diffusion models”. In GNI Symposium & Expo on Artificial Intelligence for the Built World.
- Yifan Tian, Yao Sun, Xiaoxiang Zhu (2024). “Learning Building Floor Numbers from Crowdsourced Street-view Images”. In European Cartographic Conference – EuroCarto 2024.
- Yao Sun, Yi Wang, Michael Eineder (2024). “Post-earthquake SAR-Optical Dataset for Quick Damaged-building Detection”. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
- Hao Li, Yao Sun (2023). Beyond Two Dimensions: Large-Scale Building Height Mapping in OpenStreetMap via Synthetic Aperture Radar and Street-View Imagery. In Proceedings of the OSM Science.
- Yao Sun, Anna Kruspe, Liqiu Meng, Yifan Tian, Eike Hoffmann, Stefan Auer, Xiao Xiang Zhu (2023). Towards Large-scale Building Attribute Mappingusing Crowdsourced Images: Scene Text Recognition on Flickr and Problems to be Solved. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
- Yao Sun, Stefan Auer, Liqiu Meng, Xiao Xiang Zhu (2023). Artificial Intelligence based Building Attributes Enrichment in OpenStreetMap using Street-view Images. In International Cartographic Conference (ICC).
- Wenlu Sun, Yao Sun, Chenying Liu, Conrad M Albrecht (2023). DeepLCZChange: a Remote Sensing Deep Learning Model Architecture for Urban Climate Resilience. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
- Qingyu Li, Yao Sun, Lichao Mou, Yilei Shi, Xiao Xiang Zhu (2023). Semi-supervised Segmentation of Individual Buildings from SAR Imagery. In Joint Urban Remote Sensing Event (JURSE).
- Zhongyang Hu, Yao Sun, Peter Kuipers Munneke, Stef Lhermitte, Xiao Xiang Zhu (2022). Towards a Spatially Transferable Super Resolution Model for Downscaling Antarctic Surface Melt. In NeurIPS 2022 Workshop Tackling Climate Change with Machine Learning.
- Yao Sun, Lichao Mou, Yuanyuan Wang, Xiao Xiang Zhu (2022). Bounding Box Regression Network for Building Height Retrieval Using a Single SAR Image. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
- Sining Chen, Lichao Mou, Qingyu Li, Yao Sun, Xiao Xiang Zhu (2021). Mask-height R-CNN: An End-to-end Network for 3D Building Reconstruction from Monocular Remote Sensing Imagery. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
- Yao Sun, Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu (2021). Large-scale Individual Building Segmentation in VHR SAR Images. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
- Qingyu Li, Lichao Mou, Yuansheng Hua, Yao Sun, Pu Jin, Yilei Shi, Xiao Xiang Zhu (2020). Instance Segmentation of Buildings Using Keypoints. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
- Yao Sun, Yuansheng Hua, Lichao Mou, Xiao Xiang Zhu (2019). Large-scale Building Height Estimation from Single VHR SAR Image Using Fully Convolutional Network and GIS Building Footprints. In Joint Urban Remote Sensing Event (JURSE).
- Yao Sun, Yuanyuan Wang, Xiao Xiang Zhu (2019). Automatic Registration of SAR Image and GIS Building Footprints Data in Dense Urban Area. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2019.
- Xiao Xiang Zhu, Yao Sun, Yilei Shi, Yuanyuan Wang, Nan Ge (2018). Towards Global 3D/4D Urban Modeling Using TanDEM-X Data. In 12th European Conference on Synthetic Aperture Radar (EUSAR).
- Yao Sun, Muhammad Shahzad, Xiao Xiang Zhu (2017). Building Height Estimation in Single SAR Image Using OSM Building Footprints. In Joint Urban Remote Sensing Event (JURSE).
- Yao Sun, Muhammad Shahzad, Xiao Xiang Zhu (2016). First Prismatic Building Model Reconstruction from TomoSAR Points Clouds. In ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.