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首页|期刊导航|干旱区科学:英文版|Check dam extraction from remote sensing images using deep learning and geospatial analysis:A case study in the Yanhe River Basin of the Loess Plateau,China

Check dam extraction from remote sensing images using deep learning and geospatial analysis:A case study in the Yanhe River Basin of the Loess Plateau,China

SUN Liquan GUO Huili CHEN Ziyu YIN Ziming FENG Hao WU Shufang Kadambot H M SIDDIQUE

干旱区科学:英文版2023,Vol.15Issue(1):P.34-51,18.
干旱区科学:英文版2023,Vol.15Issue(1):P.34-51,18.DOI:10.1007/s40333-023-0091-7

Check dam extraction from remote sensing images using deep learning and geospatial analysis:A case study in the Yanhe River Basin of the Loess Plateau,China

SUN Liquan 1GUO Huili 1CHEN Ziyu 1YIN Ziming 1FENG Hao 1WU Shufang 1Kadambot H M SIDDIQUE1

作者信息

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摘要

关键词

check dam/deep learning/geospatial analysis/remote sensing/Faster R-CNN/Loess Plateau

分类

信息技术与安全科学

引用本文复制引用

SUN Liquan,GUO Huili,CHEN Ziyu,YIN Ziming,FENG Hao,WU Shufang,Kadambot H M SIDDIQUE..Check dam extraction from remote sensing images using deep learning and geospatial analysis:A case study in the Yanhe River Basin of the Loess Plateau,China[J].干旱区科学:英文版,2023,15(1):P.34-51,18.

基金项目

This research was supported by the National Natural Science Foundation of China(41977064) (41977064)

the National Key R&D Program of China(2021YFD1900700). (2021YFD1900700)

干旱区科学:英文版

OACSCDCSTPCD

1674-6767

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