River extraction from high-resolution remote sensing images based on non-uniform sampling and semi-supervised learning

Kun Wang; Lin Han; Liangzhi Li

doi:10.1038/s41598-026-38167-6

River extraction from high-resolution remote sensing images based on non-uniform sampling and semi-supervised learning

K Kun Wang (Beijing National Laboratory for Molecular Science, State Key Laboratory of Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering) L Lin Han L Liangzhi Li

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Article Details

Journal Scientific Reports

Volume / Issue Vol. 16, Issue 1

Published January 31, 2026

DOI 10.1038/s41598-026-38167-6

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (3)

K

Kun Wang

Beijing National Laboratory for Molecular Science, State Key Laboratory of Rare Earth Materials Chemistry and Applications, College of Chemistry and Molecular Engineering

L

Lin Han

L

Liangzhi Li

River extraction from high-resolution remote sensing images based on non-uniform sampling and semi-supervised learning

Article Details

Journal Info

Authors (3)

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