Large-Scale Fine-Grained Building Classification and Height Estimation for Semantic Urban Reconstruction: Outcome of the 2023 IEEE GRSS Data Fusion Contest

Author:

Liu Guozhang1ORCID,Peng Baochai1ORCID,Liu Ting1ORCID,Zhang Pan1ORCID,Yuan Mengke1ORCID,Lu Chaoran1ORCID,Cao Ningning1ORCID,Zhang Sen1ORCID,Huang Simin1ORCID,Wang Tao1ORCID,Lu Xiaoqiang2ORCID,Jiao Licheng2ORCID,Liu Qiong2ORCID,Li Lingling2ORCID,Liu Fang2ORCID,Liu Xu2ORCID,Yang Yuting2ORCID,Chen Kaiqiang3ORCID,Yan Zhiyuan3,Tang Deke4,Huang Hai5ORCID,Schmitt Michael6ORCID,Sun Xian3ORCID,Vivone Gemine7ORCID,Persello Claudio8ORCID,Hänsch Ronny9ORCID

Affiliation:

1. AI Research Institute, Piesat Information Technology Company, Ltd., Beijing, China

2. Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shaanxi Province, China

3. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

4. Geovis Technology Company Ltd., Beijing, China

5. Institute for Applied Computer Science, University of the Bundeswehr Munich, Neubiberg, Germany

6. Department of Aerospace Engineering, University of the Bundeswehr Munich, Neubiberg, Germany

7. Institute of Methodologies for Environmental Analysis, National Research Council, Tito, Italy

8. Department of Earth Observation Science, Faculty of Geo-information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands

9. Department SAR Technology, German Aerospace Center (DLR), Weßling, Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

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