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

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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Bibliographic Details
Main Authors: Chen Meng, Haoyang Yang, Cuicui Jiang, Qinglei Hu, Dongyu Li
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Remote Sensing
Subjects:
UAV photogrammetry
multi-source fusion
sensor attacks
interference detection
Online Access:https://www.mdpi.com/2072-4292/17/13/2176
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