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 …

Navigating drones through natural language commands remains challenging due to the
dearth of accessible multi-modal datasets and the stringent precision requirements for …

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 …

In the domain of cross-view geo-localization, the challenge lies in accurately matching
images captured from distinct perspectives, such as aerial drone imagery and satellite …