7 papers · 1 filter
SOMA-1M: A Large-Scale SAR-Optical Multi-resolution Alignment Dataset for Multi-Task Remote Sensing
Peihao Wu, Yongxiang Yao, Yi Wan +4
Synthetic Aperture Radar (SAR) and optical imagery provide complementary strengths that constitute the critical foundation for transcending single-modality constraints and facilita…
Cross-View Localization via Redundant Sliced Observations and A-Contrario Validation
Yongjun Zhang, Mingtao Xiong, Yi Wan +1
Cross-view localization (CVL) matches ground-level images with aerial references to determine the geo-position of a camera, enabling smart vehicles to self-localize offline in GNSS…
ViewBridge:Revisiting Cross-View Localization from Image Matching
Panwang Xia, Qiong Wu, Lei Yu +11
Cross-view localization aims to estimate the 3-DoF pose of a ground-view image by aligning it with aerial or satellite imagery. Existing methods typically address this task through…
MapGlue: Multimodal Remote Sensing Image Matching
Peihao Wu, Yongxiang Yao, Wenfei Zhang +4
Multimodal remote sensing image (MRSI) matching is pivotal for cross-modal fusion, localization, and object detection, but it faces severe challenges due to geometric, radiometric,…
Multi-Resolution SAR and Optical Remote Sensing Image Registration Methods: A Review, Datasets, and Future Perspectives
Wenfei Zhang, Ruipeng Zhao, Yongxiang Yao +5
Synthetic Aperture Radar (SAR) and optical image registration is essential for remote sensing data fusion, with applications in military reconnaissance, environmental monitoring, a…
Cross-View Geo-Localization with Street-View and VHR Satellite Imagery in Decentrality Settings
Panwang Xia, Lei Yu, Yi Wan +12
Cross-View Geo-Localization tackles the challenge of image geo-localization in GNSS-denied environments, including disaster response scenarios, urban canyons, and dense forests, by…
Cross-View Image Set Geo-Localization
Qiong Wu, Panwang Xia, Lei Yu +7
Cross-view geo-localization (CVGL) has been widely applied in fields such as robotic navigation and augmented reality. Existing approaches primarily use single images or fixed-view…