A study on automatic annotation methods for watershed environmental elements based on semantic segmentation models

Satellite remote sensing data provide a crucial spatiotemporal foundation for advancing digital-twin water conservancy construction in China. Given the complex and variable nature of watersheds and their surrounding elements, using remote sensing imagery to intelligently interpret watershed elements...

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Библиографические подробности

Главные авторы:	Peipei He, Taoxing Shen, Yafei Wang, Dantong Zhu, Qingfeng Hu, Hui Li, Weibo Yin, Yi Zhang, Ang Yang
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Taylor & Francis Group 2025-12-01
Серии:	European Journal of Remote Sensing
Предметы:	Watershed segmentation automatic annotation of label sets deep learning SAM RF
Online-ссылка:	https://www.tandfonline.com/doi/10.1080/22797254.2025.2473939
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