U-Net feature fusion for multi-class semantic segmentation of urban fabrics from Sentinel-2 imagery: an application on Grand Est Region, France

Author:

Wenger Romain1ORCID,Puissant Anne1ORCID,Weber Jonathan2ORCID,Idoumghar Lhassane2ORCID,Forestier Germain2ORCID

Affiliation:

1. LIVE UMR 7362 CNRS, University of Strasbourg, Strasbourg, France

2. IRIMAS UR 7499, Université de Haute-Alsace, IRIMAS UR 7499 Mulhouse, France

Funder

ANR TIMES

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Cited by 6 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. Mountain Forest Type Classification Based on One-Dimensional Convolutional Neural Network;Forests;2023-09-06

2. Impacts of urbanization on heat in Ho Chi Minh, southern Vietnam using U-Net model and remote sensing;International Journal of Environmental Science and Technology;2023-07-28

3. Exploring inference of a land use and land cover model trained on MultiSenGE dataset;2023 Joint Urban Remote Sensing Event (JURSE);2023-05-17

4. Semantic Segmentation of Aerial Images Using U-net for Archaeological Prospection;2023 International Conference on Advances in Electronics, Communication, Computing and Intelligent Information Systems (ICAECIS);2023-04-19

5. Multi-class remote sensing change detection based on model fusion;International Journal of Remote Sensing;2023-02-01

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