P2FCN: Environment-Independent UAV-View Geo-Localization via Pixel-to-Feature Co-Enhancement (opens in new tab)

This article investigates the challenges of uncrewed aerial vehicles (UAVs)-view geo-localization under extreme environmental changes, where significant cross-domain style differences can lead to degradation of model performance. Existing methods primarily focus on mitigating domain shift issues caused by environmental factors but generally overlook the direct interference of environmental noise. We argue that mitigating environmental noise is equally critical for extracting discriminative cr...