A Semantic Guidance and Transformer-based Matching Method for UAVs and Satellite Images for UAV Geo-localization

It is a challenging task for unmanned aerial vehicles (UAVs) without a positioning system to locate targets by using images. Matching drone and satellite images is one of the key steps in this task. Due to the large angle and scale gaps between drone and satellite views, it is very important to extr...

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Veröffentlicht in:	IEEE access 2022-01, Vol.10, p.1-1
Hauptverfasser:	Zhuang, Jiedong, Chen, Xuruoyan, Dai, Ming, Lan, Wenbo, Cai, Yongheng, Zheng, Enhui
Format:	Artikel
Sprache:	eng
Schlagworte:	Cross-view image matching deep neural network Drones Feature extraction geo-localization geo-localization UAV image localization Image classification Localization Matching Pixels Remote sensing Satellite imagery Satellites Semantics Task analysis Transformers UAV image localization Unmanned aerial vehicles
Online-Zugang:	Volltext
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