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...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Peipei He, Taoxing Shen, Yafei Wang, Dantong Zhu, Qingfeng Hu, Hui Li, Weibo Yin, Yi Zhang, Ang Yang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Taylor & Francis Group 2025-12-01
Colecção:	European Journal of Remote Sensing
Assuntos:	Watershed segmentation automatic annotation of label sets deep learning SAM RF
Acesso em linha:	https://www.tandfonline.com/doi/10.1080/22797254.2025.2473939
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!