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Updated: Sep 12, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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加强了中国城市土地使用基本类别的绘制 (EULUC-China 2.0):将多式联络深度学习与多源地理空间数据相结合

Ziming Li1, Bin Chen2, Yufei Huang1

  • 1Future Urbanity & Sustainable Environment (FUSE) Lab, Division of Landscape Architecture, Faculty of Architecture, The University of Hong Kong, Hong Kong 999077, China.

Science bulletin
|August 7, 2025
PubMed
概括

本研究介绍了中国的完善的城市土地使用基本类别 (EULUC) 地图,提高了城市规划的准确性和细节性. 新的EULUC-中国2.0地图利用深度学习和多源数据,以获得更好的城市土地利用洞察力.

关键词:
深度学习是一种深度学习.多式联运多式联运一个警察.在地块级别的分类.城市土地使用.

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