UAV imagery is particularly difficult for object detection because targets occupy few pixels, occur in dense or occluded groups, and must be separated from extensive background texture. Adding a high-resolution detection layer improves the visibility of tiny instances, but it also carries road markings, building contou...
Remote sensing (RS) image change detection (CD) is crucial for environmental monitoring, urban planning, and disaster assessment. Despite recent advances, existing methods struggle to effectively exploit bitemporal difference information, leading to false alarms caused by illumination or seasonal variations. Furthermor...
Le-Le Li, Pan-Pan Zheng, Lie-Jun Wang et al.· Remote Sensing· 0 citations
Client selection is a critical mechanism for ensuring robust convergence in Federated Learning (FL) systems, yet it remains vulnerable to Non-IID data distributions and Byzantine attacks. Deep Reinforcement Learning (DRL) has shown promise for automated client selection, yet existing methods suffer from three structura...
