A Semantic Segmentation-guided Approach for Ground-to-Aerial Image Matching

arXiv:2404.11302v1 Announce Type: new
Abstract: Nowadays the accurate geo-localization of ground-view images has an important role across domains as diverse as journalism, forensics analysis, transports, and Earth Observation. This work addresses the problem of matching a query ground-view image with the corresponding satellite image without GPS data. This is done by comparing the features from a ground-view image and a satellite one, innovatively leveraging the corresponding latter's segmentation mask through a three-stream Siamese-like network. The proposed method, Semantic Align Net …

abstract aerial analysis arxiv cs.cv cs.lg data diverse domains earth earth observation forensics geo gps image images journalism localization observation query role satellite segmentation semantic type view work