Bridging Data Islands: Geographic Heterogeneity-Aware Federated Learning for Collaborative Remote Sensing Semantic Segmentation

arXiv:2404.09292v1 Announce Type: new
Abstract: Remote sensing semantic segmentation (RSS) is an essential task in Earth Observation missions. Due to data privacy concerns, high-quality remote sensing images with annotations cannot be well shared among institutions, making it difficult to fully utilize RSS data to train a generalized model. Federated Learning (FL), a privacy-preserving collaborative learning technology, is a potential solution. However, the current research on how to effectively apply FL in RSS is still scarce and requires further investigation. Remote …

abstract annotations arxiv collaborative concerns cs.ai cs.cv data data privacy earth earth observation federated learning generalized images making observation privacy quality rss segmentation semantic sensing train type