Review of target geo-location algorithms for aerial remote sensing cameras without control points

Y Cai, Y Zhou, H Zhang, Y Xia, P Qiao, J Zhao - Applied Sciences, 2022 - mdpi.com
Aerial cameras are one of the main devices for obtaining ground images in the air. Since the
industrial community sets higher requirements of aerial cameras' self-locating performance …

Uav's status is worth considering: A fusion representations matching method for geo-localization

R Zhu, M Yang, L Yin, F Wu, Y Yang - Sensors, 2023 - mdpi.com
Visual geo-localization plays a crucial role in positioning and navigation for unmanned
aerial vehicles, whose goal is to match the same geographic target from different views. This …

MCCG: A ConvNeXt-based multiple-classifier method for cross-view geo-localization

T Shen, Y Wei, L Kang, S Wan… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The key to crossview geolocalization is to match images of the same target from different
viewpoints, eg, images from drones and satellites. It is a challenging problem due to the …

An integrated parallel inner deep learning models information fusion with Bayesian optimization for land scene classification in satellite images

A Hamza, MA Khan, S Ur Rehman… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Classification of remote scenes in satellite imagery has many applications, such as
surveillance, earth observation, etc. Classifying high-resolution remote sensing images in …

A part-aware attention neural network for cross-view geo-localization between UAV and satellite

DV Bui, M Kubo, H Sato - … of Robotics, Networking and Artificial Life, 2022 - jstage.jst.go.jp
Cross-view image matching for geo-localization is the task of finding images containing the
same geographic target across different platforms. This task has drawn significant attention …

[HTML][HTML] A Satellite-Drone Image Cross-View Geolocalization Method Based on Multi-Scale Information and Dual-Channel Attention Mechanism

N Gong, L Li, J Sha, X Sun, Q Huang - Remote Sensing, 2024 - mdpi.com
Satellite-Drone Image Cross-View Geolocalization has wide applications. Due to the
pronounced variations in the visual features of 3D objects under different angles, Satellite …

Aerial-view geo-localization based on multi-layer local pattern cross-attention network

H Li, T Wang, Q Chen, Q Zhao, S Jiang, C Yan… - Applied …, 2024 - Springer
Aerial-view geo-localization aims to determine locations of interest to drones by matching
drone-view images against a satellite database with geo-tagging. The key underpinning of …

CV-Cities: Advancing Cross-View Geo-Localization in Global Cities

G Huang, Y Zhou, L Zhao, W Gan - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
Cross-view geo-localization (CVGL), which involves matching and retrieving satellite images
to determine the geographic location of a ground image, is crucial in GNSS-constrained …

USuperGlue: an unsupervised UAV image matching network based on local self-attention

Y Zhou, Y Guo, KP Lin, F Yang, L Li - Soft Computing, 2024 - Springer
This study addresses the issues of the limited or unavailable unmanned aerial vehicle (UAV)
image matching labels, differences in imagery between UAV and ground cameras, and the …

[HTML][HTML] MMHCA: Multi-feature representations based on multi-scale hierarchical contextual aggregation for UAV-view geo-localization

C Nanhua, T LOU, Z Liangyu - Chinese Journal of Aeronautics, 2024 - Elsevier
In global navigation satellite system denial environment, cross-view geo-localization based
on image retrieval presents an exceedingly critical visual localization solution for Unmanned …