[HTML][HTML] Multi-UAV collaborative absolute vision positioning and navigation: a survey and discussion

P Tong, X Yang, Y Yang, W Liu, P Wu - Drones, 2023 - mdpi.com
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 in the past decade: Achievements, challenges, and future directions

W Zhou, H Guan, Z Li, Z Shao… - IEEE Journal of Selected …, 2023 - ieeexplore.ieee.org
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 …

Orienternet: Visual localization in 2d public maps with neural matching

PE Sarlin, D DeTone, TY Yang… - Proceedings of the …, 2023 - openaccess.thecvf.com
Humans can orient themselves in their 3D environments using simple 2D maps. Differently,
algorithms for visual localization mostly rely on complex 3D point clouds that are expensive …

Cross-view geo-localization with layer-to-layer transformer

H Yang, X Lu, Y Zhu - Advances in Neural Information …, 2021 - proceedings.neurips.cc
In this work, we address the problem of cross-view geo-localization, which estimates the
geospatial location of a street view image by matching it with a database of geo-tagged …

Coming down to earth: Satellite-to-street view synthesis for geo-localization

A Toker, Q Zhou, M Maximov… - Proceedings of the …, 2021 - openaccess.thecvf.com
The goal of cross-view image based geo-localization is to determine the location of a given
street view image by matching it against a collection of geo-tagged satellite images. This …

Each part matters: Local patterns facilitate cross-view geo-localization

T Wang, Z Zheng, C Yan, J Zhang… - … on Circuits and …, 2021 - ieeexplore.ieee.org
Cross-view geo-localization is to spot images of the same geographic target from different
platforms, eg, drone-view cameras and satellites. It is challenging in the large visual …

Beyond cross-view image retrieval: Highly accurate vehicle localization using satellite image

Y Shi, H Li - Proceedings of the IEEE/CVF Conference on …, 2022 - openaccess.thecvf.com
This paper addresses the problem of vehicle-mounted camera localization by matching a
ground-level image with an overhead-view satellite map. Existing methods often treat this …

RFNet: Region-aware fusion network for incomplete multi-modal brain tumor segmentation

Y Ding, X Yu, Y Yang - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
Most existing brain tumor segmentation methods usually exploit multi-modal magnetic
resonance imaging (MRI) images to achieve high segmentation performance. However, the …

Joint representation learning and keypoint detection for cross-view geo-localization

J Lin, Z Zheng, Z Zhong, Z Luo, S Li… - … on Image Processing, 2022 - ieeexplore.ieee.org
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 …

Spatial-aware feature aggregation for image based cross-view geo-localization

Y Shi, L Liu, X Yu, H Li - Advances in Neural Information …, 2019 - proceedings.neurips.cc
In this paper, we develop a new deep network to explicitly address these inherent
differences between ground and aerial views. We observe there exist some approximate …