5 papers
DECO: Depth-Guided Co-Visibility Reasoning for Low-Altitude UAV Visual Localization
Yibin Ye, Xichao Teng, Shuo Chen +4
Unmanned aerial vehicles (UAVs) increasingly require robust visual localization in GNSS-denied environments. A common solution estimates UAV poses by matching keypoints between UAV…
Exploring the best way for UAV visual localization under Low-altitude Multi-view Observation Condition: a Benchmark
Yibin Ye, Xichao Teng, Shuo Chen +4
Absolute Visual Localization (AVL) enables an Unmanned Aerial Vehicle (UAV) to determine its position in GNSS-denied environments by establishing geometric relationships between UA…
CRFT: Consistent-Recurrent Feature Flow Transformer for Cross-Modal Image Registration
Xuecong Liu, Mengzhu Ding, Zixuan Sun +2
We present Consistent-Recurrent Feature Flow Transformer (CRFT), a unified coarse-to-fine framework based on feature flow learning for robust cross-modal image registration. CRFT l…
Scale-Aware UAV-to-Satellite Cross-View Geo-Localization: A Semantic Geometric Approach
Yibin Ye, Shuo Chen, Kun Wang +5
Cross-View Geo-Localization (CVGL) between UAV imagery and satellite images plays a crucial role in target localization and UAV self-positioning. However, most existing methods rel…
Oriented object detection in optical remote sensing images using deep learning: a survey
Kun Wang, Zi Wang, Zhang Li +5
Oriented object detection is a fundamental yet challenging task in remote sensing (RS), aiming to locate and classify objects with arbitrary orientations. Recent advancements in de…