Enhancing turbidity predictions in coastal environments by removing obstructions from unmanned aerial vehicle multispectral imagery using inpainting techniques

Enhancing turbidity predictions in coastal environments by removing obstructions from unmanned aerial vehicle multispectral imagery using inpainting techniques

High-resolution remote sensing of turbidity in the coastal environment with unmanned aerial vehicles (UAVs) can be adversely affected by the presence of obstructions of vessels and marine objects in images, which can introduce significant errors in turbidity modeling and predictions. This study eval...

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書目詳細資料
Main Authors:	Kieu, Hieu Trung, Yeong, Yoong Sze, Trinh, Ha Linh, Law, Adrian Wing-Keung
其他作者:	School of Civil and Environmental Engineering
格式:	Article
語言:	English
出版:	2025
主題:	Engineering Remote sensing Coastal monitoring
在線閱讀:	https://hdl.handle.net/10356/182159
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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