Improving UAV Remote Sensing Photogrammetry Accuracy Under Navigation Interference Using Anomaly Detection and Data Fusion

Accurate and robust navigation is fundamental to Unmanned Aerial Vehicle (UAV) remote sensing operations. However, the susceptibility of UAV navigation sensors to diverse interference and malicious attacks can severely degrade positioning accuracy and compromise mission integrity. Addressing these v...

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מידע ביבליוגרפי

Principais autores:	Chen Meng, Haoyang Yang, Cuicui Jiang, Qinglei Hu, Dongyu Li
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2025-06-01
סדרה:	Remote Sensing
נושאים:	UAV photogrammetry multi-source fusion sensor attacks interference detection
גישה מקוונת:	https://www.mdpi.com/2072-4292/17/13/2176
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