Loess Landslide Detection Using Object Detection Algorithms in Northwest China

Regional landslide identification is important for the risk management of landslide hazards. The traditional methods of regional landslide identification were mainly conducted by a human being. In previous studies, automatic landslide recognition mainly focused on new landslides distinct from the en...

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Veröffentlicht in:	Remote sensing (Basel, Switzerland) Jg. 14; H. 5; S. 1182
Hauptverfasser:	Ju, Yuanzhen, Xu, Qiang, Jin, Shichao, Li, Weile, Su, Yanjun, Dong, Xiujun, Guo, Qinghua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	MDPI AG 27.02.2022
Schlagworte:	algorithms automatic detection automatic identification China deep learning earthquakes google earth image humans image analysis Internet landslides loess loess landslide object detection rain risk management China
ISSN:	2072-4292, 2072-4292
Online-Zugang:	Volltext
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