HSRRSFPD and MEGRDNet: empowering high-resolution farmland parcel mapping in complex terrains

Existing methods in farmland extraction tasks still face limitations due to significant scale differences among farmland parcels and insufficient boundary perception capabilities, which undoubtedly hinders the promotion and application of large-scale and detailed farmland parcel mapping. To address...

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Detalhes bibliográficos

Principais autores:	Yuyan Yan, Zhizheng Zhang, Chanjuan Zan, Shenghui Fang, Zhenfeng Shao, Jiaming Wang, Bowen Cai, Yu Wang, Walter Musakwa
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2026-06-01
coleção:	International Journal of Applied Earth Observations and Geoinformation
Assuntos:	Farmland parcelmapping Deep learning High resolution remote sensing Complex terrains Semantic segmentation
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S1569843226002621
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