Urban Building Classification (UBC) V2—A Benchmark for Global Building Detection and Fine-Grained Classification From Satellite Imagery

Author:

Huang Xingliang1ORCID,Chen Kaiqiang1ORCID,Tang Deke2,Liu Chenglong1ORCID,Ren Libo1ORCID,Sun Zheng1,Hänsch Ronny3ORCID,Schmitt Michael4ORCID,Sun Xian1ORCID,Huang Hai4ORCID,Mayer Helmut4ORCID

Affiliation:

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

2. Geovis Technology Company Ltd., Beijing, China

3. German Aerospace Center (DLR), Weßling, Germany

4. Institute for Applied Computer Science, Universität der Bundeswehr München, Neubiberg, Germany

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. UB-FineNet: Urban building fine-grained classification network for open-access satellite images;ISPRS Journal of Photogrammetry and Remote Sensing;2024-11

2. BF-SAM: enhancing SAM through multi-modal fusion for fine-grained building function identification;International Journal of Geographical Information Science;2024-09-05

3. UBC-CN: Fine-Grained Building Extraction Dataset For Chinese Regions;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

4. Unit-level LoD2 Building Reconstruction from Satellite-derived Digital Surface Model and Orthophoto;ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2024-06-10

5. GABLE: A first fine-grained 3D building model of China on a national scale from very high resolution satellite imagery;Remote Sensing of Environment;2024-05

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