Enhancing the Localization Accuracy of UAV Images under GNSS Denial Conditions

Enhancing the Localization Accuracy of UAV Images under GNSS Denial Conditions

Unmanned aerial vehicles (UAVs) are widely used in many industries. The use of UAV images for surveying requires that the images contain high-precision localization information. However, the accuracy of UAV localization can be compromised in complex GNSS environments. To address this challenge, this...

Full description

Bibliographic Details
Main Authors: Han Gao, Ying Yu, Xiao Huang, Liang Song, Li Li, Lei Li, Lei Zhang
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Sensors
Subjects:
GNSS denial
deep learning
localization
satellite image
unmanned aerial vehicle
Online Access:https://www.mdpi.com/1424-8220/23/24/9751

Similar Items

Similar Items