The employment of unmanned aerial vehicles (UAVs) has greatly facilitated the lives of
humans. Due to the mass manufacturing of consumer unmanned aerial vehicles and the …

Remote sensing image retrieval (RSIR) aims to search and retrieve the images of interest
from a large remote sensing image archive, which has remained to be a hot topic over the …

In this paper, we study the cross-view geo-localization problem to match images from
different viewpoints. The key motivation underpinning this task is to learn a discriminative …

Cross-view geo-localization is a task of matching the same geographic image from different
views, eg, unmanned aerial vehicle (UAV) and satellite. The most difficult challenges are the …

The goal of cross-view image matching based on geo-localization is to determine the
location of a given ground-view image (front view) by matching it with a group of satellite …

Abstract Cross-View Geo-Localisation is still a challenging task where additional modules,
specific pre-processing or zooming strategies are necessary to determine accurate positions …

This work addresses cross-view camera pose estimation, ie, determining the 3-Degrees-of-
Freedom camera pose of a given ground-level image wrt an aerial image of the local area …

Scene matching involves establishing a mapping relationship between heterogeneous
images, which is crucial for drone visual geo-localization. However, it poses a significant …

Cross-view geo-localization aims to estimate the location of a query ground image by
matching it to a reference geo-tagged aerial images database. As an extremely challenging …

Cross-view geolocalization matches the same target in different images from various views,
such as views of unmanned aerial vehicles (UAVs) and satellites, which is a key technology …