LandCover.ai: Dataset for Automatic Mapping of Buildings, Woodlands, Water and Roads from Aerial Imagery-Reference-Cited by-同舟云学术

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LandCover.ai: Dataset for Automatic Mapping of Buildings, Woodlands, Water and Roads from Aerial Imagery

Published:2021-06 Issue: Volume: Page:
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Container-title:2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Boguszewski Adrian,Batorski Dominik,Ziemba-Jankowska Natalia,Dziedzic Tomasz,Zambrzycka Anna

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9522011/9522684/09522694.pdf?arnumber=9522694

Cited by 83 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. Fine mapping of Hubei open pit mines via a multi-branch global–local-feature-based ConvFormer and a high-resolution benchmark;International Journal of Applied Earth Observation and Geoinformation;2024-09

2. Efficient geospatial mapping of buildings, woodlands, water and roads from aerial imagery using deep learning;PeerJ Computer Science;2024-06-25

3. A Systematic Literature Review and Bibliometric Analysis of Semantic Segmentation Models in Land Cover Mapping;Remote Sensing;2024-06-19

4. U-Net Ensemble for Enhanced Semantic Segmentation in Remote Sensing Imagery;Remote Sensing;2024-06-08

5. UniVecMapper: A universal model for thematic and multi-class vector graph extraction;International Journal of Applied Earth Observation and Geoinformation;2024-06

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