首页|期刊导航|China Geology|A novel method for automatic river channel morphology extraction from remote sensing satellite images:A case study of the Golmud fluvial fan

A novel method for automatic river channel morphology extraction from remote sensing satellite images:A case study of the Golmud fluvial fan

Shao-hua Zhao Chang-min Zhang Xiang-hui Zhang Jia-le Liu

China Geology2026，Vol.9Issue(2)：P.333-348,16.

China Geology2026，Vol.9Issue(2)：P.333-348,16.DOI:10.31035/cg2025057

A novel method for automatic river channel morphology extraction from remote sensing satellite images:A case study of the Golmud fluvial fan

Shao-hua Zhao ¹Chang-min Zhang ¹Xiang-hui Zhang ¹Jia-le Liu¹

作者信息

1. School of Geosciences,Yangtze University,Wuhan 430000,China
折叠

摘要

关键词

Channel morphology/Distributive fluvial system/Golmud fluvial fan/Image segmentation/Remote sensing imagery/Ecosystem sustainability/Fluvial hazards/Water resource management/Qinghai-Xizang Plateau

分类

天文与地球科学

引用本文复制引用

Shao-hua Zhao,Chang-min Zhang,Xiang-hui Zhang,Jia-le Liu..A novel method for automatic river channel morphology extraction from remote sensing satellite images:A case study of the Golmud fluvial fan[J].China Geology,2026,9(2):P.333-348,16.

基金项目

supported by the National Natural Science Foundation of China(42130813). （42130813）

China Geology

ISSN：2096-5192

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